Work with Us

Location: Hyderabad, India
Job Type: Full-time

Expected Joining Time: Immediate to 30 days.
Potential companies: Tiger Analytics, Tredence, Quantiphi, Data Engineering Group within Infosys/TCS/Cognizant, Deloitte Consulting etc.

Job Description
This position requires someone with good problem solving, business understanding and client presence. Overall professional experience of the candidate should be above 8 years. A minimum of 5 years of experience in leading and managing a client portfolio in Data Engineering space. Should have good understanding of business operations, challenges faced, and business technology used across business functions.
The candidate must understand the usage of traditional and modern data Engineering technologies/tools for solving business problems and help clients in their data journey. The candidate must have knowledge of emerging technologies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.
Candidate should be comfortable with taking leadership roles, in client projects, presales/consulting, solutioning, business development conversations, execution on data engineering projects.

Key Responsibilities

• Client Engagement & Relationship Management:
  • Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals.
  • Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business.
  • Translate client requirements into actionable technical solutions and project plans.
• Project Management & Delivery:
  • Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget.
  • Manage project resources, timelines, and risks, ensuring smooth project execution and delivery.
  • Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions.
• Technical Leadership & Innovation:
  • Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs.
  • Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage.
  • Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output.
• Team Leadership & Development:
  • Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture.
  • Provide professional development opportunities, coaching, and career growth support to team members.
  • Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services.
• Data Governance & Quality Assurance:
  • Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects.
  • Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions.
• Business Development & Consulting:
  • Support business development efforts by contributing to proposals, presenting solutions to prospective clients, and identifying opportunities for expanding client engagements.
  • Provide thought leadership in data engineering, contributing to white papers, webinars, and conferences to enhance the company’s reputation in the industry

Required Qualifications

• 8 to 12 years of data engineering experience with at least 3 years in a managerial role within a consulting or professional services environment.
• Proven experience in managing multiple, complex data engineering projects simultaneously.
• Experience in leading a team of 8 to 12 professionals.
• Strong problem-solving skills and the ability to handle complex, ambiguous situations.
• Exceptional project management skills, with experience in Agile methodologies.
• A client-service mindset and a desire to take on tough and challenging projects
• Effective communication skills, both written and verbal
• Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment.

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
Experience Level: 5+ Years

Job Description
We are seeking a highly skilled and experienced Senior Data Engineer to join our We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.

Key Responsibilities

• Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP.
• Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc.
• Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies.
• Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters).
• Perform advanced analytics, including:
  • Customer Lifetime Value (CLV) estimation
  • Churn prediction and retention modeling
  • Attribution analysis to evaluate campaign ROI
  • Sentiment and intent analysis using NLP on social media, chat, and survey data
  • Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels.
  • Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn.
• Build and operationalize predictive models and apply GenAI techniques for:
  • Automated customer service chatbots
  • Content generation and personalization
  • Synthetic data generation for simulation and testing
• Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution.
• Continuously monitor and tune models and pipelines for optimal performance and data freshness.
• Collaborate with cross-functional teams including marketing, data engineering, product, and analytics.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Data Science, Marketing Analytics, or a related field.
• 5+ years of experience in CDP implementation and marketing analytics.
• Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake.
• Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers).
• Experience deploying GenAI applications and understanding of LLM frameworks.
• Familiarity with campaign attribution models, marketing funnels, and retention strategies.
• Excellent analytical, communication, and stakeholder management skills.

Preferred Skills

• Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP.
• Exposure to MLOps practices and model monitoring pipelines.
• Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce).

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: 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.