Data Engineer - Spark, Databricks & Snowflake - DESDSAS
NavitasPartners
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 View email address on navitasp.talentnest.com
Vacancy posted 12 hours ago
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