Data Engineer – Spark / Databricks / Snowflake (BFSI) - DESDSAS

Job Title: Data Engineer – Spark, Databricks & Snowflake (BFSI)

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.

For more details reach at resumes@navitassols.com