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Popular data engineer role, metro location, and broad skill requirements increase applicant competition.
Core data engineering skills (ETL, Hadoop, Spark, SQL) are highly transferable across industries.
Extensive mandatory tech stack and domain experience drive strict resume filtering.
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Build and maintain data architectures including pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and implement data processing algorithms and collaborate with data scientists to build and deploy machine learning models.
Lead and supervise a team, guide professional development, allocate work, and manage team resources with accountability for operational results.
Strong hands-on experience with ETL tools, specifically Ab Initio GDE and EME.
Proficient in SQL, Hive, Impala, Unix, Hadoop, Spark, and Python.
Experience with cloud platforms, especially AWS, and knowledge of data warehousing and data messaging platforms like Apache Kafka.
Work Experience Required: Not explicitly mentioned in the JD; Location Requirement: Pune, India.
Experienced in leading and supervising technical teams with accountability for delivery and risk management.
Proven expertise in data engineering technologies including CI/CD with GitLab and AI-powered development tools (e.g. Copilot, Claude Code).
Able to work independently with strong problem-solving skills and capable of stakeholder management in a large enterprise environment.