Data Engineer

Experience: 4–6 Years
Domain: Banking / Financial Services
Immediate Joiners will be preferred

We are seeking a skilled Data Engineer with strong experience in the banking domain to design, build, and optimize high-quality data pipelines and curated datasets that support enterprise reporting and analytics. The role requires deep SQL expertise, strong data quality mindset, and close collaboration with business and BI teams.

• Develop and optimize complex SQL queries using CTEs, window functions, and advanced joins

• Design and build curated KPI datasets optimized for BI and analytics consumption

• Partner with business and analytics teams to implement KPI logic and reporting requirements

• Ensure data accuracy through reconciliation, validation, and quality checks across datasets

• Integrate data from multiple banking source systems into unified analytical models

• Monitor and tune query performance to ensure scalability and efficiency

• Support ongoing enhancements and maintenance of data pipelines and reporting datasets

• 3–5 years of hands-on experience as a Data Engineer in the banking or financial services domain

• Strong expertise in SQL (CTEs, window functions, aggregations, complex joins)

• Solid understanding of data quality, reconciliation, and performance optimization

• Exposure to integrating data from multiple heterogeneous source systems

• Strong analytical skills and ability to work with business stakeholders

• Experience with data warehousing and dimensional modeling

• Familiarity with ETL/ELT frameworks and scheduling tools

• Knowledge of regulatory or financial reporting use cases