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Azure Data Engineer @ Capgemini Technology

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 Azure Data Engineer

Job Description

    "Key Responsibilities:
    Data Pipeline Development
    Design and implement robust ETL/ELT pipelines using Azure Data Factory and Databricks (PySpark, SQL, Delta Live Tables).
    Ingest and transform data from diverse sources including APIs, databases, file systems, and third-party platforms.
    Apply Medallion Architecture principles to organize data into bronze, silver, and gold layers for analytics and ML.
    Cloud Integration & Optimization
    Leverage Azure services such as ADLS Gen2, Azure Synapse, Azure Functions, and Event Hub for scalable data solutions.
    Optimize Spark jobs and data workflows for performance, cost-efficiency, and reliability.
    Integrate pipelines into CI/CD workflows using Azure DevOps or GitHub Actions.
    Governance, Security & Monitoring
    Implement data governance practices including metadata management, lineage tracking, and access control using Unity Catalog, Azure Purview, or similar tools.
    Ensure compliance with data privacy and security standards (e.g., GDPR, HIPAA).
    Monitor pipeline health and data quality using Azure Monitor, Log Analytics, and custom alerting.
    Collaboration & Leadership
    Collaborate with data scientists, analysts, and business stakeholders to deliver curated, analytics-ready datasets.
    Participate in architecture reviews, code reviews, and performance tuning sessions.
    Mentor junior data engineers and contribute to best practices in data engineering and DevOps.
    Required Skills & Experience:
    6+ years of experience in data engineering, with 3+ years working with Azure and Databricks.
    Strong hands-on experience with:
    Azure Data Factory, ADLS Gen2, Azure Functions
    Databricks (PySpark, SQL, Delta Lake, Workflows)
    Medallion Architecture and lakehouse design
    CI/CD tools (Azure DevOps, GitHub Actions)
    Data quality, observability, and monitoring tools
    Preferred Qualifications:
    Databricks Certified Data Engineer Associate or Professional
    Microsoft Certified: Azure Data Engineer Associate
    Experience with Unity Catalog, Azure Purview, or Informatica
    Familiarity with MLflow, Feature Store, or MLOps practices
    Knowledge of data modeling, schema design, and performance tuning
    Expected Outcomes:
    Scalable, secure, and high-performance data pipelines supporting analytics and AI
    Well-governed and discoverable data assets across the enterprise
    Improved data quality, observability, and operational efficiency
    Strong collaboration between data engineering, analytics, and platform teams"

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: IT Operations / EDP / MIS
Functional Area: Not Specified
Role/Responsibilies: Azure Data Engineer

Contact Details:

Company: Capgemini Technology
Location(s): Bengaluru

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Keyskills:   data factory azure

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₹ 5 to 8 Yr

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Capgemini Technology

Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...