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    Job · 16764809

    MUMBAI · FULLTIME

    Data Engineer + DevOps Azure

    OnPoint Insights logo

    OnPoint Insights

    Mumbai · onsite · Posted 42d ago

    Sourced fromFoundit
    Not disclosed2–4 yrsfulltimeMumbai

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Data Engineer + DevOps – Azure

    Role Overview

    We're looking for a Data Engineer with 2 years of experience building and maintaining data pipelines on Azure, along with working knowledge of CI/CD practices to support automated, reliable deployments.

    Key Responsibilities

    • Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and/or SQL-based tools
    • Work with SQL Server / Azure SQL for ingestion, transformation, and storage across staging/curated/reporting layers
    • Optimize pipelines and queries for performance and cost efficiency
    • Collaborate with BI/analytics teams to deliver clean, reliable datasets for reporting
    • Implement and maintain CI/CD pipelines using Azure DevOps
    • Write clean, modular, well-documented code following Git-based version control practices
    • Monitor pipeline health, troubleshoot failures, and ensure data quality
    • Explore opportunities to apply AI/GenAI tools for pipeline automation, data quality checks, or documentation
    • Participate in code reviews and contribute to engineering best practices

    Required Skills & Qualifications

    • 2 years of experience as a Data Engineer
    • Strong hands-on experience with Azure data services (ADF, Synapse, Azure SQL, or similar)
    • Proficiency in SQL and solid understanding of relational database concepts
    • Working knowledge of CI/CD concepts and tools — Azure DevOps required; GitHub Actions, Jenkins, or GitLab CI experience a plus
    • Hands-on experience developing and maintaining CI/CD pipelines for development environments using Azure DevOps (ADO)
    • Experience with Git-based version control and branching workflows
    • Ability to write clean, modular, well-documented pipeline code
    • Python for scripting
    • Proficiency in PySpark and Spark SQL

    Good to Have

    • Exposure to Databricks (PySpark / Spark SQL), Delta Lake concepts
    • Familiarity with AI-assisted development tools (GitHub Copilot, Azure OpenAI, Claude Code or similar)
    • Basic exposure to GenAI/LLM-based data workflows
    • Basic understanding of data warehousing / dimensional modeling
    • Bash/PowerShell scripting/testing
    • Familiarity with Power BI or other BI tools
    • Azure certifications (DP-700 Fabric Data Engineer Associate, AZ-900, etc.)

    Why OnPoint Insights

    OnPoint Insights is a US-based technology and consulting company focused on delivering innovative data, cloud, and AI-driven solutions. Join our team to work on real-world projects, collaborate with experienced professionals, gain exposure to modern technologies, and build a strong career in a growing technology environment.

    Sourced from foundit

    Section · 02

    Skills

    Azure DevopsSpark SQLAzure SQLPysparkPythonAzure Data FactorySQL ServerGITCi/Cd

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