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Senior Software Engineer

5 - 10 years

7 - 12 Lacs

Posted:12 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Azure Synapse Pipelines (SQL/Apache Spark), Data Lake, and EDW
Good to have skills
  • Power BI
  • Azure Data Factory (ADF) and Azure Data Bricks.
Knowledge of CI/CD practices using GitHub, Azure DevOps, or similar tools.
Summary: Skilled in Azure Data Engineer with hands-on experience in Azure Synapse Pipelines (SQL/Apache Spark), Data Lake, and Enterprise Data Warehouse (EDW) architecture. The role involves designing, building, and maintaining scalable data pipelines and analytical solutions in a modern Azure data ecosystem. Key Responsibilities: Design and develop data ingestion and transformation pipelines using Azure Synapse Pipelines, Apache Spark, and SQL. Integrate data from diverse sources into Azure Data Lake Storage (ADLS Gen2) and EDW environments. Develop and optimize data models and dataflows for enterprise reporting and analytics. Ensure scalable and high-performance ETL/ELT processing using Synapse and Spark pools. Collaborate with business analysts, data scientists, and BI developers to deliver clean, curated datasets. Monitor pipeline execution, troubleshoot failures, and manage performance tuning. Implement data governance, quality checks, and security controls across data pipelines. Maintain documentation, version control, and CI/CD processes for data workflows. Required Skills & Experience: Hands on experience in data engineering or ETL development. Strong hands-on experience with Azure Synapse Analytics (Pipelines, SQL Pools, Apache Spark Pools). Solid understanding of Azure Data Lake (Gen2) architecture and folder structures. Proficiency in SQL, T-SQL, and Apache Spark (PySpark or Scala) for data transformation. Experience working with Enterprise Data Warehouses (EDW) and dimensional modeling. Familiarity with Delta Lake, Parquet, JSON, and other big data file formats. Experience integrating data from relational databases, APIs, and flat files into Azure environments. Preferred Skills: Experience with Azure Data Factory (ADF) and Azure DataBricks. Knowledge of CI/CD practices using GitHub, Azure DevOps, or similar tools. Understanding data governance frameworks and data cataloging tools (e.g., Purview). Familiarity with Power BI or other visualization tools

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