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About the role
Data Engineer Location : Mumbai Fulltime Interview mode: Virtual than F2F Key Responsibilities Pipeline Development: Build and maintain scalable, secure ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Data Processing: Utilize Apache Spark, PySpark, or Scala within Databricks to process large-scale structured and unstructured datasets. Data Lakehouse Management: Implement Medallion Architecture (Bronze, Silver, Gold layers) using Delta Lake on Azure Data Lake Storage (ADLS) Gen2. Data Warehousing: Design, model, and maintain high-performance data models and SQL pools in Azure Synapse. Required Skills & Qualifications Cloud Platforms: Expert knowledge of Microsoft Azure (ADLS Gen2, Data Factory, Synapse, Databricks). Big Data Technologies: Proficiency in Databricks Spark, Delta Lake, and Synapse SQL. Programming Languages: Robust proficiency in SQL, Python, or Scala. Data Modeling: Expertise in dimensional modeling (star/snowflake schema) and data warehousing concepts. Certifications: Preferred certification in Microsoft Certified: Azure Data Engineer Associate (DP-203) .
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