Senior Data Engineer

Role Responsibilities:

• Design and implement scalable ETL workflows using AWS Glue and Pyspark
• Act as an architect for data engineering pipelines and cloud infrastructure
• Collaborate with cross-functional teams for data ingestion and transformation
• Ensure performance optimization and fault-tolerance in data systems

Key Deliverables:

• End-to-end data pipelines aligned with business needs
• Reusable ETL frameworks with automation capabilities
• Cloud-native data architecture on AWS
• On-time delivery of contract-based assignments with minimal supervision