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AZURE DATA ENGINEER

Fresher   Kolkata, BangaloreBangalore, Chennai, Noida, Hyderabad, Gurugram, Pune, Mumbai City, Delhi   29 Aug, 2025
CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED
Job LocationKolkata, BangaloreBangalore, Chennai, Noida, Hyderabad, Gurugram, Pune, Mumbai City, Delhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    Key Responsibilities:Data Pipeline DevelopmentDesign 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 & OptimizationLeverage 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 & MonitoringImplement 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 & LeadershipCollaborate 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 FunctionsDatabricks (PySpark, SQL, Delta Lake, Workflows)Medallion Architecture and lakehouse designCI/CD tools (Azure DevOps, GitHub Actions)Data quality, observability, and monitoring toolsPreferred Qualifications:Databricks Certified Data Engineer Associate or ProfessionalMicrosoft Certified: Azure Data Engineer AssociateExperience with Unity Catalog, Azure Purview, or InformaticaFamiliarity with MLflow, Feature Store, or MLOps practicesKnowledge of data modeling, schema design, and performance tuningExpected Outcomes:Scalable, secure, and high-performance data pipelines supporting analytics and AIWell-governed and discoverable data assets across the enterpriseImproved data quality, observability, and operational efficiencyStrong collaboration between data engineering, analytics, and platform teams

Keyskills :
mlopsazure functions

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