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McLean, VA, USA
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Key Responsibilities
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Lead data migration initiatives to Azure, including on prem to cloud and legacy ETL modernization.
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Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), and Informatica (PowerCenter / IICS).
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Implement end to end data ingestion, transformation, and loading into Azure Data Lake Gen2, Azure SQL, Azure Synapse, and Snowflake.
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Migrate and refactor existing ETL workflows (Informatica / SSIS) to cloud native Azure architectures.
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Optimize data pipelines for performance, reliability, and cost efficiency.
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Ensure data quality, governance, security, and compliance during migration and ongoing operations.
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Collaborate with architects, business stakeholders, and downstream analytics teams.
Required Skills
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Azure Migration: Hands on experience with Azure Data Lake (Gen1/Gen2), Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL
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ETL/ELT: Strong expertise in Informatica PowerCenter, Informatica IICS, ETL design, CDC, SCDs, and batch/stream processing
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Programming: Python, PySpark, SQL, PL/SQL
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Databases & Warehousing: Oracle, SQL Server,
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Cloud DevOps: Azure DevOps CI/CD pipelines, Git-based version control
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Data Modeling: Star schemas, dimensional modeling
Nice to Have
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AI/ML experience
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Power BI / semantic modelling exposure
Bachelor's degree
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