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Vacancy description

Consultant Microsoft Azure Kolkata Engineering in Calcutta, भारत

Deloitte Advisory

  • On-siteWork from the office
  • Full-timeStandard weekly hours

Calcutta, भारत

Responsibilities

  • Design and develop scalable batch and incremental data pipelines using Fabric Data Factory or Azure Data Factory.
  • Build Fabric Lakehouse and Warehouse solutions using OneLake, Delta tables, SQL, and Spark.
  • Develop reusable Python and PySpark notebooks for transformations and data-quality processing.
  • Implement full-load, incremental-load, CDC, and parameter-driven pipeline patterns.
  • Create curated data layers for reporting, analytics, and downstream consumption.
  • Implement logging, exception handling, alerts, retry mechanisms, and audit controls.
  • Optimize SQL queries, Spark jobs, pipelines, data models, and storage structures.
  • Support deployments across development, test, and production environments.
  • Troubleshoot production incidents and conduct root-cause analysis.
  • Collaborate with business analysts, architects, report developers, and source-system teams.
  • Perform peer reviews and mentor Level 1 engineers.

Requirements

  • Strong SQL skills, including joins, window functions, CTEs, stored procedures, and performance tuning.
  • Hands-on experience with Python and/or PySpark.
  • Experience with Azure Data Factory or Fabric Data Factory.
  • Experience with Lakehouse, data warehouse, or enterprise data-platform solutions.
  • Knowledge of Delta Lake, Parquet, partitioning, and medallion architecture.
  • Understanding of data modeling, including star and snowflake schemas.
  • Experience using Git and CI/CD tools such as Azure DevOps.
  • Working knowledge of Power BI semantic models and reporting requirements.
  • Understanding of identity, role-based access, secrets, and cloud security.
  • Bachelor-level BTECH or BCA education.
  • Preferred experience with Fabric OneLake, shortcuts, Warehouse, Data Engineering, or Real-Time Intelligence.
  • Preferred experience migrating data workloads from on-premises or legacy platforms to Azure or Fabric.
  • Preferred knowledge of Azure SQL, ADLS Gen2, Synapse Analytics, Azure Functions, or Databricks.
  • Preferred experience with REST APIs, JSON, event-based ingestion, or streaming data.
  • Microsoft Fabric Analytics Engineer or Azure Data Engineer certification is preferred.

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