Job Description:

Key Responsibilities:

- Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, and other Azure services.
- Build and manage data lake and data warehouse solutions (e.g., Azure Data Lake, Synapse Analytics).
- Optimize data storage, retrieval, and performance across structured and unstructured data sources.
- Collaborate with data scientists, analysts, and business users to enable self-service BI and advanced analytics.
- Implement data governance, data quality, and security best practices across all data solutions.
- Automate processes for monitoring, logging, and performance tuning.
- Work in an Agile/DevOps environment to support CI/CD pipelines for data solutions.
- Bachelor's degree in Computer Science, Information Systems,



or related field (Master's preferred).
- Proven experience as a Data Engineer with strong expertise in Microsoft Azure ecosystem.
- Hands-on experience with:
- Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake (Gen2)
- SQL, Python, PySpark, or Scala
- Azure DevOps / Git for CI/CD
- Robust knowledge of data modeling, data warehousing, and ETL/ELT concepts.
- Experience with performance optimization and big data processing frameworks.
- Familiarity with data governance, compliance, and security practices in cloud environments

Skills: Microsoft Azure

Experience: 2.00-4.00 Years

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