Job Title: Data Engineer

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

Job Summary

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.

Key Responsibilities

• 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

Required Skills & Experience

• 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

Nice to Have

• Experience with data warehousing and dimensional modeling

• Familiarity with ETL/ELT frameworks and scheduling tools

• Knowledge of regulatory or financial reporting use cases