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Tier-1 brand, common data-engineer title, broad skills, and mid-level experience increase competition.
Core data engineering skills are broadly transferable, though banking domain knowledge moderately increases fit sensitivity.
Mandatory 6+ years plus required Python, advanced SQL, ETL, orchestration, and production pipeline experience makes screening strict.
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Design, develop, and deploy scalable batch and real-time ETL/ELT data pipelines ensuring data accuracy and performance.
Optimize complex SQL queries, database indexing, and pipeline execution for high performance.
Collaborate with analytics, product, and business teams to deliver clean, structured datasets meeting enterprise needs.
6+ years of professional experience in data engineering or related software engineering roles.
Strong programming skills in Python and advanced SQL expertise are mandatory.
Hands-on experience with ETL/ELT frameworks, workflow orchestration tools, and relational (PostgreSQL, MySQL) plus NoSQL databases.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field.
Proven track record of building and maintaining production-grade data pipelines in complex enterprise environments.
Demonstrates autonomy and the ability to work with limited supervision, including acting as SME to senior stakeholders.
Experience with cloud data platforms, containerization, data streaming concepts, and CI/CD practices is preferred but not mandatory.