Data Engineer

• Years of experience: 8 to 10  years

Focus: Reliability, Automation, and Data Quality. The Engineer turns the architect's blueprint into a working, automated reality.

• Key Responsibilities:
• Build and maintain ETL/ELT pipelines to move data from source to storage.
• Implement automated data quality testing and observability alerts.
• Optimize data storage formats (e.g., Parquet, Delta Lake) for high-speed querying.
• Manage CI/CD pipelines for data code deployment.
• Create interactive visualizations with actionable insights by persona
• Deliverables: Production-ready optimized data pipelines, Cleaned datasets, interactive & intelligent dashboards.
• Tech Stack - AWS
• Data Ingestion & Processing : AWS API Gateway, AWS Lambda, AWS Glue ETL, AWS Glue Crawler
• Data Storage & Analytics : Amazon S3, Amazon Redshift (Data Warehouse), Amazon Athena
• Governance & Security : AWS Lake Formation, AWS IAM, AWS CloudTrail, Amazon CloudWatch
• AI & Analytics : AWS Bedrock
• Visualization :Amazon QuickSight
• Visa Requirement: Preferred USA B1 Business Visa with a minimum validity of 2 years