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Tata AIA Life Insurance

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Engineering Manager - Data

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Description

Responsibilities:

  • Manages the design, implementation, and maintenance of data pipelines and architecture for operational and analytical use cases.
  • Leads and mentors a team of data engineers, providing technical guidance, career development, and performance feedback.
  • Collaborates with cross-functional teams to gather requirements and ensure high-quality data delivery for business and product needs.
  • Oversees data modeling, ETL development, data integration, and pipeline automation across multiple platforms.
  • Establishes best practices for data quality, governance, and compliance in line with industry standards.
  • Continuously evaluates new technologies and tools to improve scalability, performance, and data reliability.
  • Partners with analytics, product, and engineering teams to support strategic initiatives and long-term data strategy.


Requirements:

  • 8+ years of experience in data engineering, data infrastructure, or software development.
  • 3+ years of experience managing data or engineering teams.
  • Bachelor's or master's degree in computer science, data engineering, or a related technical field.
  • Expertise in SQL, data modeling, and pipeline orchestration tools (e. g., Airflow, dbt, or similar).
  • Experience with cloud data platforms (e. g., Snowflake, BigQuery, Redshift, or AWS Glue).
  • Strong leadership, communication, and stakeholder management skills.

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See also

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