Role & responsibilities

Job Responsibilities
Responsible for leading a team of talented data engineers responsible for designing, building, and maintaining scalable data pipelines and infrastructure
Work closely with cross-functional teams to ensure client data systems meet the highest standards of quality and performance
Lead, mentor, and develop a team of data engineers, fostering a cooperative and inclusive team workplace
Conduct regular performance reviews, provide feedback, and set goals for team members
Identify and address skill gaps, and provide opportunities for professional development
Plan, execute, and deliver data engineering projects on time and within scope
Coordinate with stakeholders to gather requirements, set priorities, and define project timelines.
Ensure projects align with overall business objectives and data strategy
Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouse
Ensure data quality, integrity, and security across all data engineering projects. •
Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations.




Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
Ability to build/drive reusable frameworks that can drive efficiency of the overall data system
Has executed and lead multiple projects including on - streaming, batch, large data pipelines, etc.
Manages conversation with the client stakeholders to understand the Internal Use Only requirement and translate it into technical outcomes.

Preferred candidate profile
Robust experience with Databricks, Spark, and cloud platforms (Azure, AWS, GCP).
Architect and deploy cloud-based data solutions (Azure, AWS, GCP).
Define CI/CD strategies for data pipelines using Terraform, Azure DevOps, or GitHub Actions.
Implement data cataloging, lineage tracking, and access control (Unity Catalog, Collibra, Alation).
Ensure compliance with GDPR, CCPA, and industry-specific data security policies.
Develop strategies for distributed computing, parallel processing, and caching mechanisms.

📌 Lead Data Engineer Bengaluru
🏢 TheMathCompany
📍 Bengaluru