3 - 7 years

4 - 9 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

  • Azure Cosmos DB (Mongo API):

    hands-on experience with schema design, query optimization, and partitioning strategies.
  • Azure Blob Storage:

    efficient data storage, retrieval, and integration with pipelines.
  • Azure Data Factory (ADF)

    or equivalent orchestration tools (e.g.,

    Apache Airflow

    ) for ETL/ELT workflows.
  • Azure AI Search:

    data indexing, hybrid search queries, and semantic query tuning.
  • Python:

    data manipulation, ETL scripting, and integration with Azure SDKs.
  • SQL & NoSQL data modeling:

    relational and document-based schema design.
  • Query tuning & performance optimization:

    profiling queries, caching, and cost optimization in Azure.
  • ETL/ELT pipeline design & automation:

    end-to-end data ingestion, transformation, and load processes.
  • Parallel data retrieval & bulk data handling:

    scalable data ingestion for large datasets.
  • JSON & document-based data formats:

    schema validation and transformation.
  • Monitoring & observability:

    use of

    Azure Monitor

    ,

    Log Analytics

    , or Application Insights for tracking data pipeline health and performance.
  • Version control & CI/CD:

    Git-based workflow, integration with Azure DevOps or GitHub Actions for data pipelines.

Preferred candidate profile

  • Migration experience

    from

    Elasticsearch

    or

    MongoDB

    to Azure-native data services.
  • Understanding of distributed data systems

    and concurrency scaling patterns.
  • Knowledge of Azure networking fundamentals:

    Private Endpoints, Managed Identity, and secure data access configurations.

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