onsite
Data Engineer - Msccn
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and warehouses using Python, SQL, Spark, and AWS services. Focus on data quality, performance, and collaboration with analytics teams.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into cloud data warehouses.
- Optimize data models and queries for performance, ensuring high availability and reliability of data services.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver actionable insights.
- Implement data quality checks, monitoring, and alerting to maintain data integrity across environments.
- Leverage AWS services (S3, Redshift, Glue, Lambda) and Spark for large‑scale data processing.
Requirements
- 3+ years of experience in data engineering or related field.