Key ResponsibilitiesDesign, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).Build and optimize data transformation workflows using Azure Databricks (ADB) and PySpark/Spark SQL.Integrate data from multiple structured and unstructured sources into Azure Data Lake / Synapse.Monitor, troubleshoot, and tune pipeline performance for reliability and cost efficiency.Implement data quality checks, logging, and error-handling frameworks within pipelines.Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical solutions.Ensure adherence to data security, governance, and compliance standards.
Required Skills & Experience10 years of hands-on experience in data engineering, with robust expertise in Azure Data Factory and Azure Databricks.Proficiency in SQL, Python, and/or Scala for data transformation.Solid understanding of data warehousing concepts, data modeling, and pipeline orchestration.Experience with Azure Data Lake Storage, Synapse Analytics, or similar cloud data platforms.Strong analytical and problem-solving skills with attention to detail.Good communication skills and ability to work in a client-facing environment.
Good to HaveExperience with CI/CD for data pipelines, Azure DevOps, and knowledge of Delta Lake.
📌 Azure Data Engineer (Mumbai)
🏢 TCS
📍 Mumbai
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