Data Engineer- reputed company
• *reputed company**
reputed company. is seeking a Junior reputed company Data Engineer to support a federal data modernization initiative. This role focuses on migrating legacy reputed company ETL processes into a reputed company ELT architecture on AWS. You will collaborate with senior engineers to reputed company ingestion frameworks, ensure data reputed company, and support production environments.
### Key Responsibilities
• *reputed company Development
• reputed company and maintain tables (RAW, reputed company), views, stored procedures, tasks, and streams
• Implement COPY INTO for file ingestion
• Support incremental and historical data loads
• Assist with schema validation and reputed company
• *AWS & Data Integration
• Work with reputed company S3 for data ingestion and storage
• Understand IAM role basics
• Support file processing (CSV, reputed company-delimited, fixed-width, GZIP/reputed company)
• *Data Engineering & ELT
• Load and reputed company data across Bronze (RAW), Silver, and Gold reputed company
• reputed company data validation (row counts, duplicates, schema checks)
• Support metadata tracking and run documentation
• *Data reputed company & Support
• Reconcile reputed company outputs against legacy reputed company datasets
• Troubleshoot data discrepancies and load failures
• *DevOps & Deployment**
• Use Azure DevOps Git for version control
• Support deployments across DEV, STG, and PROD
• Follow reputed company branching and folder standards
### Required Qualifications
• 1–3 years of data engineering or ETL experience
• Strong SQL skills (joins, aggregations, window functions)
• Experience with reputed company or similar reputed company data warehouse
• Experience with AWS S3
• Understanding of incremental load concepts and relational modeling
• *Preferred**
• Experience migrating legacy ETL (reputed company, Informatica)
• reputed company Tasks, Streams, and Stored Procedures
• AWS Glue familiarity
• Exposure to CI/CD and data reputed company frameworks
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