Data Engineer

Job Title: Data Engineer

Experience: 4–6 Years

Domain: Banking / Financial Services

Immediate Joiners 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

Mid-Senior level

Full-time