JOB DESCRIPTION:

• At least 3 years of experience building and maintaining ETL/ELT pipelines in enterprise environments using Azure-native tools.
• Hands-on expertise with Azure Data Factory, Dataflows, Synapse Pipelines, or similar orchestration tools.
• Proficiency in SQL, Python, or PySpark for transformation logic and data cleansing workflows.
• Experience with Delta Lake, Azure Data Lake Storage Gen2, JSON, and Parquet formats.
• Ability to build modular, reusable pipeline components using metadata-driven approaches and robust error handling.
• Familiarity with public data sources, government transparency datasets, and publishing workflows.
• Knowledge of data masking, PII handling, and encryption techniques to manage sensitive data responsibly.
• Experience with data quality frameworks, including automated validation, logging, and data reconciliation methods.
• Strong grasp of DevOps/DataOps practices, including versioning, testing, and CI/CD for data pipelines.
• Experience supporting data publishing for oversight, regulatory, or open data initiatives is highly desirable.
• Certifications such as DP-203 (Azure Data Engineer Associate) or Azure Solutions Architect are a plus.
  Job Type: Contract
  Pay: $45.00 - $55.00 per hour

Schedule:

• 8 hour shift

License/Certification:

• Microsoft Certified: Azure Data Engineer Associate (Required)
• Azure Solutions Architect (Required)

Work Location: Remot

Please refer the Job description for details