Company Name: VARITE India Private Limited

About The Client:

One of the oldest banking institutions in the UAE and Middle East. The Client provides a range of conventional and Islamic banking services, including personal banking solutions such as deposits, loans, and credit cards. The bank also offers corporate and investment banking services, including corporate finance, investment advisory on mergers and acquisitions, initial public offerings (IPOs), and underwriting

About The Job:
Experience: 8+ Years Overall
Relevant Experience: 5+ Years with SQL, Hadoop/Cloudera, Azure Data Platform, Databricks, Python, and Spark

Essential Job Functions:
Data Pipeline Management: Design, build, and maintain scalable ETL/ELT pipelines for Corporate Banking and Credit Risk data.
Data Integration: Integrate data from multiple source systems and deliver curated datasets for business consumption.
Data Transformation: Develop transformation logic and reusable frameworks using Spark, Databricks, and Python.
Performance Optimization: Optimize jobs, queries,



and data pipelines for reliability and scalability.
Data Quality: Implement automated validation checks and reconciliation controls.
Production Support: Troubleshoot data issues, perform RCA, and ensure platform stability.
Collaboration: Work closely with Data Analysts, Architects, Business Teams, and Vendors.
Documentation: Maintain technical specifications, mappings, lineage, and operational procedures.

Qualifications:

Mandatory Skills
Robust understanding of Corporate Banking data domains including Customers, Facilities, Limits, Collateral, Covenants, Ratings, and Credit Applications.
Solid hands-on experience in designing, developing, and managing ETL/ELT pipelines for enterprise-scale data platforms.
Advanced proficiency in SQL for data extraction, transformation, reconciliation, and performance optimization.
Hands-on experience in Python and Spark for data engineering and automation.
Solid

📌 Lead Data Engineer Bengaluru (India)
🏢 VARITE
📍 India