Work with Us

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.