Work with Us

Location: Hyderabad, India
Job Type: Full-time

Job Description
We are looking for an experienced and results-driven Data Engineer to join our growing Data Engineering team. The ideal candidate will be proficient in building scalable, high-performance data transformation pipelines using Snowflake and dbt and be able to effectively work in a consulting setup. In this role, you will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making across the client’s organization.

Key Responsibilities

1. Design and build robust ELT pipelines using dbt on Snowflake, including ingestion from relational databases, APIs, cloud storage, and flat files.
2. Reverse-engineer and optimize SAP Data Services (SAP DS) jobs to support scalable migration to cloud-based data platforms.
3. Implement layered data architectures (e.g., staging, intermediate, mart layers) to enable reliable and reusable data assets.
4. Enhance dbt/Snowflake workflows through performance optimization techniques such as clustering, partitioning, query profiling, and efficient SQL design.
5. Use orchestration tools like Airflow, dbt Cloud, and Control-M to schedule, monitor, and manage data workflows.
6. Apply modular SQL practices, testing, documentation, and Git-based CI/CD workflows for version-controlled, maintainable code.
7. Collaborate with data analysts, scientists, and architects to gather requirements, document solutions, and deliver validated datasets.
8. Contribute to internal knowledge sharing through reusable dbt components and participate in Agile ceremonies to support consulting delivery.

Required Qualifications

• Data Engineering Skills
  • 3–5 years of experience in data engineering, with hands-on experience in Snowflake and basic to intermediate proficiency in dbt.
  • Capable of building and maintaining ELT pipelines using dbt and Snowflake with guidance on architecture and best practices.
  • Understanding of ELT principles and foundational knowledge of data modeling techniques (preferably Kimball/Dimensional).
  • Intermediate experience with SAP Data Services (SAP DS), including extracting, transforming, and integrating data from legacy systems.
  • Proficient in SQL for data transformation and basic performance tuning in Snowflake (e.g., clustering, partitioning, materializations).
  • Familiar with workflow orchestration tools like dbt Cloud, Airflow, or Control M.
  • Experience using Git for version control and exposure to CI/CD workflows in team environments.
  • Exposure to cloud storage solutions such as Azure Data Lake, AWS S3, or GCS for ingestion and external staging in Snowflake.
  • Working knowledge of Python for basic automation and data manipulation tasks.
  • Understanding of Snowflake’s role-based access control (RBAC), data security features, and general data privacy practices like GDPR.
• Data Quality & Documentation
  • Familiar with dbt testing and documentation practices (e.g., dbt tests, dbt docs).
  • Awareness of standard data validation and monitoring techniques for reliable pipeline development.
• Soft Skills & Collaboration
  • Strong problem-solving skills and ability to debug SQL and transformation logic effectively.
  • Able to document work clearly and communicate technical solutions to a cross-functional team.
  • Experience working in Agile settings, participating in sprints, and handling shifting priorities.
  • Comfortable collaborating with analysts, data scientists, and architects across onshore/offshore teams.
  • High attention to detail, proactive attitude, and adaptability in dynamic project environments.
• Nice to Have
  • Experience working in client-facing or consulting roles.
  • Exposure to AI/ML data pipelines or tools like feature stores and MLflow.
  • Familiarity with enterprise-grade data quality tools
• Education:
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • Certifications such as Snowflake SnowPro, dbt Certified Developer Data Engineering are a plus.

Why Join Us?

• Opportunity to work on diverse and challenging projects in a consulting environment.
• Collaborative work culture that values innovation and curiosity.
• Access to cutting-edge technologies and a focus on professional development.
• Competitive compensation and benefits package.
• Be part of a dynamic team delivering impactful data solutions.

About Us
Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.

Location: Hyderabad, India
Job Type: Full-time

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data team at Logic Pursuits. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt, define architectural best practices, and drive data transformation at scale. You’ll work closely with clients to translate business needs into robust data solutions and play a key role in mentoring junior engineers, enforcing standards, and delivering production-grade data platforms.

Key Responsibilities

• Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
• Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
• Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.
• Optimize Snowflake for performance and cost: warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
• Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
• Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
• Define and enforce data governance and compliance practices using Snowflake RBAC, secure data sharing, and encryption strategies.
• Collaborate with analysts, data scientists, architects, and business stakeholders to deliver validated, business-ready data assets.
• Mentor junior engineers, lead architectural/code reviews, and help establish reusable frameworks and standards.
• Engage with clients to gather requirements, present solutions, and manage end-to-end project delivery in a consulting setup.

Required Qualifications

• 5 to 8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments.
• Technical Skills:
  • Cloud Data Warehouse & Transformation Stack:
    • Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management.
    • Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git.
  • Orchestration and Integration:
    • Proficiency in orchestrating workflows using dbt Cloud, Airflow, or Azure Data Factory.
    • Comfortable working with data ingestion from cloud storage (e.g., Azure Data Lake, AWS S3) and APIs.
  • Data Modelling and Architecture:
    • Dimensional modelling (Star/Snowflake schemas), Slowly changing dimensions.
    • Knowledge of modern data warehousing principles.
    • Experience implementing Medallion Architecture (Bronze/Silver/Gold layers).
    • Experience working with Parquet, JSON, CSV, or other data formats.
  • Programming Languages:
    • Python: For data transformation, notebook development, automation.
    • SQL: Strong grasp of SQL for querying and performance tuning.
    • Jinja (nice to have): Exposure to Jinja for advanced dbt development.
  • Data Engineering & Analytical Skills:
    • ETL/ELT pipeline design and optimization.
    • Exposure to AI/ML data pipelines, feature stores, or MLflow for model tracking (good to have).
    • Exposure to data quality and validation frameworks.
  • Security & Governance:
    • Experience implementing data quality checks using dbt tests.
    • Data encryption, secure key management and security best practices for Snowflake and dbt.
• Soft Skills & Leadership:
  • Ability to thrive in client-facing roles with competing/changing priorities and fast-paced delivery cycles.
  • Stakeholder Communication: Collaborate with business stakeholders to understand objectives and convert them into actionable data engineering designs.
  • Project Ownership: End-to-end delivery including design, implementation, and monitoring.
  • Mentorship: Guide junior engineers and establish best practices; Build new skill in the team.
  • Agile Practices: Work in sprints, participate in scrum ceremonies, story estimation.
• Education:
  • Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.
  • Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are a plus.

Why Join Us?

• Work on modern data architecture at scale using cutting-edge Azure technologies.
• Collaborate with a dynamic and talented team of data professionals.
• Grow your leadership skills through hands-on project ownership and mentorship.
• Competitive compensation, flexible work options, and continuous learning culture.

About Us
Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making
is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.

Location: USA or India (Remote)
Job Type: Full-time

Job Description
As part of your role, you will engage with Chief Data, AI, Analytics, and Digital Officers, VP/Directors of eCommerce, CTOs, CIOs, CMOs, Marketing Technology Officers, and Data Product Owners. Your focus will be on fast-growing companies across industries such as Travel & Hospitality, Media, Financial Services, Pharmaceuticals, Manufacturing, Distribution, Retail, and CPG. You will match our data and analytics consulting services to their needs and business challenges.
Most interactions will occur via phone, email, and virtual meeting platforms.
This is a critical role, as you will be responsible for initiating relationships that senior staff will leverage to negotiate and close deals. Future growth opportunities may include outside sales and closing business.

Key Responsibilities

• Creating lists of contacts within defined market segments based on qualification criteria. This includes leveraging databases, conducting internet research, and using networking sites. You need to be a digital networking expert and a strategic thinker – no “spray and pray” here!
• Contacting leads through focused outbound targeting and building early-stage relationships that can develop into future sales. Creativity is critical, and you should be able to break through the noise and distractions in the lives of our prospects.
• Monitoring ongoing leads with diligent follow-up to ensure they develop properly and become “sales-ready.”
• Assisting Logic Pursuits’ efforts by promoting various sales campaigns and marketing events via telephone and email.
• Keeping the pipeline of available leads for outside sales consistently full, enabling Client Partners to focus on selling Logic Pursuits rather than spending time prospecting accounts.
• Tracking all key metrics related to lead generation in the CRM and providing additional reports on lead generation activities as assigned by the Sales Manager.

Qualifications

• Strong research abilities to identify the right prospects to target – you will need to demonstrate this to the hiring manager during the interview process.
• 2–5 years of experience in a demand generation, sales, or lead generation environment with consulting, services, or product companies selling B2B to the Fortune 2000. Proven ability to generate opportunities for a sales organization that lead to high levels of revenue.
• Highly comfortable and confident on the phone, with excellent verbal and written communication skills.
• Exceptional skills in overcoming objections, developing rapport, and persuasion.
• Ability to work collaboratively as a team player with multiple internal and external stakeholders.
• Superior time management and organizational skills to manage a high volume of calls and emails required for the position.
• A positive attitude, a sense of fun, and a “courteously aggressive” approach.
• Professional sales training is a plus, as is prior exposure to the Data/Analytics industry.
• Accountability – when you commit to something, you take ownership and see it through to completion.
• A self-starter who thrives in the fast-paced environment of a growing technology company. You don’t wait for direction but take initiative.

Compensation and Benefits
Competitive base salary with commissions, 401 k and Medical/dental /vision plans

About Logic Pursuits
Logic Pursuits is a leading Data and Analytics consulting organization specializing in transforming business data into actionable insights. By employing advanced practices in descriptive, predictive, and prescriptive analytics, we empower organizations to make data-driven decisions that drive measurable business outcomes.
As a technology-agnostic partner, we provide end-to-end services across the data management ecosystem, including Data Strategy, Data Engineering, Data Analytics & Visualization, and Data Science. Whether addressing data silos, automating internal processes, or generating actionable insights, Logic Pursuits delivers innovative solutions tailored to meet the unique challenges of our clients.
Our mission is to help forward-thinking organizations unlock the power of their data to achieve sustainable growth and operational excellence.

Location: Hyderabad, India
Job Type: Full-time

Job Description
We are looking for a motivated and innovative Junior Data Engineer to join our team and contribute to the development of robust, scalable data pipelines and solutions. This role is ideal for someone who is curious, adaptable, and thrives in a fast-paced consulting environment.
As a Data Engineer, you will be responsible for designing and building data pipelines, demonstrating ownership of assigned tasks, continuous learning, and collaborating effectively within a team or independently. A proactive “figure it out” attitude, coupled with strong self-review skills and a commitment to continuous learning, is essential for success in this role.

Key Responsibilities

1. Data Pipeline Development:
   • Design, build, and maintain data pipelines for the efficient processing and transformation of large datasets.
   • Ensure data workflows are scalable, optimized, and meet business requirements.
2. Innovation and Learning:
   • Stay updated with emerging technologies, tools, and best practices in data engineering.
   • Quickly learn and adapt to new technologies and frameworks as project needs evolve.
3. Independent and Team Contribution:
   • Take ownership of assigned tasks, ensuring timely and high-quality delivery.
   • Work independently or collaboratively within a team to achieve project objectives.
4. Consulting Environment Adaptability:
   • Understand and adapt to the dynamic nature of consulting projects.
   • Engage with clients and stakeholders to align on requirements and deliverables.
5. Quality Assurance and Self-Review:
   • Review your own work to ensure it meets technical and quality standards.
   • Identify and address potential issues proactively, maintaining a commitment to excellence.
6. Problem Solving and Ownership:
   • Approach challenges with a “figure it out” mindset, demonstrating problem-solving skills and resourcefulness.
   • Take accountability for your deliverables, ensuring alignment with project goals and client expectations.

Qualifications

• Education:
  • Bachelor’s or Master’s degree in computer science, Data Engineering, or a related field.
• Experience:
  • 1 to 2 years of experience in data engineering.
  • Hands-on experience with data pipelines, ETL processes, and data workflows.
• Technical Skills:
  • Proficiency in programming languages such as Python or Scala.
  • Knowledge of relational and NoSQL databases, as well as data modeling principles.
  • Familiarity with data engineering and integration frameworks is a plus.
  • Exposure to cloud platforms (AWS, Azure, or GCP) and their data services is preferred.
• Soft Skills:
  • String problem-solving and analytical skills.
  • Effective communication and collaboration skills to work with diverse teams and clients.
  • A curious and proactive mindset, with a commitment to continuous improvement.
  • Ability to adapt to a consulting environment effectively.

Why Join Us?

• Opportunity to work on innovative and challenging projects.
• Collaborative work environment that values curiosity and creativity.
• Exposure to a variety of industries and cutting-edge technologies.
• Competitive salary and benefits package.
• A culture that fosters professional growth and continuous learning.

About Us
Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.

Location: Hyderabad, India
Job Type: Full-time

Job Description
We are seeking a highly motivated and innovative Data Engineer to join our team. In this role, you will be responsible for designing and developing data pipelines, working independently or within a team to deliver high-quality solutions. You should have a proactive approach, strong self-review skills, and the ability to own assigned activities end-to-end.
The ideal candidate thrives in a consulting environment, is curious and eager to learn new technologies, and demonstrates the ability to adapt to evolving project needs. This role also requires the confidence to handle client conversations, ensuring alignment on technical requirements and deliverables.

Key Responsibilities

1. Data Pipeline Development:
   • Design, build, and maintain data pipelines to process and transform large datasets efficiently.
   • Implement scalable and optimized ETL/ELT processes to meet project and client needs.
2. Innovation and Learning:
   • Stay updated with emerging technologies, tools, and best practices in data engineering.
   • Quickly learn and adapt to new technologies and frameworks as project needs evolve.
3. Independent and Team Contribution:
   • Take ownership of assigned activities, ensuring timely and high-quality delivery.
   • Collaborate effectively within a team or work independently based on project requirements.
4. Consulting Environment Adaptability:
   • Embrace the dynamic nature of consulting projects and adjust to diverse client requirements.
   • Work across industries and domains to provide tailored solutions.
5. Quality Assurance and Self-Review:
   • Conduct thorough self-reviews of work to ensure alignment with technical and quality standards.
   • Identify and address potential issues proactively, maintaining a focus on delivering excellence.
6. Problem Solving and Ownership:
   • Approach challenges with a “figure it out” mindset, demonstrating problem-solving skills and resourcefulness.
   • Take accountability for your deliverables, ensuring alignment with project goals and client expectations.

Qualifications

• Education:
  • Bachelor’s or Master’s degree in computer science, Data Engineering, or a related field.
• Experience:
  • 2 to 5 years of experience in data engineering.
  • Proven experience in designing and implementing data pipelines and ETL processes.
• Technical Skills:
  • Proficiency in programming languages such as Python or Scala.
  • Experience in constructing data pipelines for ingesting raw data into Cloud Data Warehouses (e.g., Snowflake, Redshift), cleansing and transforming data to meet required specifications using various ETL/ELT tools such as Matillion, dbt, Striim, etc
  • Hands-on experience with relational and NoSQL databases and data modeling techniques.
  • Hands-on experience of 1+ years in developing data integration solutions using Matillion and/or dbt.
  • Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
  • Familiarity with data engineering and integration frameworks is a plus.
  • Familiarity with containerization (Docker), and orchestration tools (such as Airflow, Control-M) is a plus.
• Soft Skills:
  • String problem-solving and analytical skills.
  • Effective communication and collaboration skills to work with diverse teams and clients.
  • A curious and proactive mindset, with a commitment to continuous improvement.
  • Ability to adapt to a consulting environment effectively.

Why Join Us?

• Opportunity to work on diverse and challenging projects in a consulting environment.
• Collaborative work culture that values innovation and curiosity.
• Access to cutting-edge technologies and a focus on professional development.
• Competitive compensation and benefits package.
• Be part of a dynamic team delivering impactful data solutions.

About Us
Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.

Location: Hyderabad, India
Job Type: Full-time

Job Description
We are seeking an experienced and innovative Senior Data Engineer to lead the design, development, and implementation of robust data pipelines and solutions for our clients. The ideal candidate will possess strong technical expertise, excellent leadership skills, and the drive to continuously learn and innovate.
As a Senior Data Engineer, you will lead a team of 3 to 5 talented engineers, ensuring high-quality deliverables while fostering a culture of innovation, collaboration, and technical excellence. You will also coordinate with clients to gather requirements, design technical solutions, and drive seamless project execution.

Key Responsibilities

1. Data Pipeline Development:
   • Design, build, and optimize scalable data pipelines to process and transform large datasets.
   • Implement best practices in ETL/ELT processes, data integration, and data warehousing.
2. Team Leadership:
   • Lead, mentor, and manage a team of 3 to 5 data engineers.
   • Review team members’ work to ensure adherence to technical standards and project timelines.
   • Provide technical guidance and foster skill development within the team.
3. Client Collaboration:
   • Work closely with clients to understand business requirements and translate them into technical solutions.
   • Communicate effectively with stakeholders to ensure alignment on project goals, timelines, and deliverables.
4. Quality Assurance and Innovation:
   • Conduct code reviews and validations to maintain high-quality standards and optimize system performance.
   • Identify opportunities for innovation and implement cutting-edge technologies in data engineering.
5. Internal Initiatives and Eminence Building:
   • Drive internal initiatives to improve processes, frameworks, and methodologies.
   • Contribute to the organization’s eminence by developing thought leadership, sharing best practices, and participating in knowledge-sharing activities.
6. Learning and Adaptability:
   • Stay updated with emerging data technologies, frameworks, and tools.
   • Actively explore and integrate new technologies to improve existing workflows and solutions.
   • Exhibit a “figure it out” attitude, taking ownership and accountability for challenges and solutions.

Qualifications

• Education:
  • Bachelor’s or Master’s degree in computer science, Data Engineering, or a related field.
  • Certifications in cloud platforms such as Snowflake Snowpro, Azure Data Engineer is a plus.
• Experience:
  • 5 to 8 years of experience in data engineering with a strong focus on pipeline development and data modeling.
  • Proven experience in leading small teams or mentoring junior engineers.
• Technical Skills:
  • Expertise in programming languages such as Python, Scala, or Java.
  • Proficiency in designing and constructing data pipelines for ingesting raw data into Cloud Data Warehouses (e.g., Snowflake, Redshift), cleansing and transforming data to meet required specifications using various ETL/ELT tools such as Matillion, dbt, Striim, etc.
  • Hands-on experience with relational and NoSQL databases and data modeling techniques.
  • Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt.
  • Strong knowledge of data engineering and integration frameworks.
  • Successfully implemented at least one end-to-end project with multiple transformation layers.
  • Good grasp of coding standards, with the ability to define standards and testing strategies for projects.
  • Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services.
  • Enthusiastic about working in Agile methodology.
  • Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines.
  • Familiarity with containerization (Docker), and orchestration tools (such as Airflow, Control-M).
• Soft Skills:
  • Excellent problem-solving and analytical skills.
  • Strong communication & interpersonal skills to liaise effectively with clients and team members.
  • Demonstrated accountability, ownership, and a proactive approach to solving problems.
  • A proactive mindset with the ability to adapt to new technologies and frameworks.

Why Join Us?

• Opportunity to work on challenging and innovative projects.
• A collaborative environment that values creativity and continuous learning.
• Competitive salary and benefits package.
• A chance to make a significant impact by shaping the future of data-driven solutions.

About Us
Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.

Location: Hyderabad, India
Job Type: Full-time

Job Description
We are looking for an accomplished and dynamic Data Engineering Lead to join our team and drive the design, development, and delivery of cutting-edge data solutions. This role requires a balance of strong technical expertise, strategic leadership, and a consulting mindset. As the Lead Data Engineer, you will oversee the design and development of robust data pipelines and systems, manage and mentor a team of 5 to 7 engineers, and play a critical role in architecting innovative solutions tailored to client needs.
You will lead by example, fostering a culture of accountability, ownership, and continuous improvement while delivering impactful, scalable data solutions in a fast-paced, consulting environment.

Key Responsibilities

1. Data Solution Design and Development:
   • Architect, design, and implement end-to-end data pipelines and systems that handle large-scale, complex datasets.
   • Ensure optimal system architecture for performance, scalability, and reliability.
   • Evaluate and integrate new technologies to enhance existing solutions.
   • Implement best practices in ETL/ELT processes, data integration, and data warehousing.
2. Project Leadership and Delivery:
   • Lead technical project execution, ensuring timelines and deliverables are met with high quality.
   • Collaborate with cross-functional teams to align business goals with technical solutions.
   • Act as the primary point of contact for clients, translating business requirements into actionable technical strategies.
3. Team Leadership and Development:
   • Manage, mentor, and grow a team of 5 to 7 data engineers.
   • Conduct code reviews, validations, and provide feedback to ensure adherence to technical standards.
   • Provide technical guidance and foster an environment of continuous learning, innovation, and collaboration.
4. Optimization and Performance Tuning:
   • Analyze and optimize existing data workflows for performance and cost-efficiency.
   • Troubleshoot and resolve complex technical issues within data systems.
5. Adaptability and Innovation:
   • Embrace a consulting mindset with the ability to quickly learn and adopt new tools, technologies, and frameworks.
   • Identify opportunities for innovation and implement cutting-edge technologies in data engineering.
   • Exhibit a “figure it out” attitude, taking ownership and accountability for challenges and solutions.
6. Client Collaboration:
   • Engage with stakeholders to understand requirements and ensure alignment throughout the project lifecycle.
   • Present technical concepts and designs to both technical and non-technical audiences.
   • Communicate effectively with stakeholders to ensure alignment on project goals, timelines, and deliverables.
7. Learning and Adaptability:
   • Stay updated with emerging data technologies, frameworks, and tools.
   • Actively explore and integrate new technologies to improve existing workflows and solutions.
8. Internal Initiatives and Eminence Building:
   • Drive internal initiatives to improve processes, frameworks, and methodologies.
   • Contribute to the organization’s eminence by developing thought leadership, sharing best practices, and participating in knowledge-sharing activities.

Qualifications

• Education:
  • Bachelor’s or Master’s degree in computer science, Data Engineering, or a related field.
  • Certifications in cloud platforms such as Snowflake Snowpro, Azure Data Engineer is a plus.
• Experience:
  • 7 to 10 years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization.
  • Proven track record in leading data engineering teams and managing end-to-end project delivery.
• Technical Skills:
  • Expertise in programming languages such as Python, Scala, or Java.
  • Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc.
  • Solid understanding of database systems (relational and NoSQL) and data modeling techniques.
  • Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt.
  • Strong knowledge of data engineering and integration frameworks.
  • Expertise in architecting data solutions.
  • Successfully implemented at least two end-to-end projects with multiple transformation layers.
  • Good grasp of coding standards, with the ability to define standards and testing strategies for projects.
  • Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services.
  • Enthusiastic about working in Agile methodology.
  • Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines.
  • Experience working with containerization (Docker), and orchestration tools (such as Airflow, Control-M).
• Soft Skills:
  • Exceptional problem-solving and analytical skills.
  • Strong communication and interpersonal skills to manage client relationships and team dynamics.
  • Ability to thrive in a consulting environment, quickly adapting to new challenges and domains.
  • Demonstrated accountability, ownership, and a proactive approach to solving problems.

Why Join Us?

• Be at the forefront of data innovation and lead impactful projects.
• Work with a collaborative and forward-thinking team.
• Opportunity to mentor and develop talent in the data engineering space.
• Competitive compensation and benefits package.
• A dynamic environment where your contributions directly shape the future of data-driven decision-making.

About Us
Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.