Data Engineer - Spark, Databricks & Snowflake - DESDSAS

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. For more details reach at resumes@navitassols.com

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