Job Title: Data Engineer - Spark, Databricks & Snowflake
Position Overview: We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking, financial services, and insurance clients.
Key Responsibilities:- Design and develop enterprise-grade data pipelines using Spark and Databricks.
- Build and optimize Snowflake data warehouse solutions.
- Develop ETL/ELT frameworks for structured and unstructured data.
- Implement data quality, governance, and security controls.
- Integrate data from core banking, payments, lending, risk, and regulatory systems.
- Optimize data processing performance and cloud costs.
Required Skills:- Apache Spark (PySpark/Scala)
- Databricks
- Snowflake
- SQL, Python
- Azure/AWS/GCP Data Services
- Data Modeling
- ETL/ELT Development
- CI/CD and DevOps Practices
- Data Lake Architecture
Required Qualifications:- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of Data Engineering experience.
- Experience implementing enterprise data platforms.
Mandatory Industry Experience:- Must have prior BFSI experience supporting banking, insurance, capital markets, lending, payments, wealth management, or risk management functions.
