Expert Data Engineer

19 hours ago

Rajkot, Gujarat, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 20,00,000

Job Opportunity: Data Engineer – Azure Expert

About the Role:

We are seeking an experienced Data Engineer with hands-on expertise in designing, developing, and managing data pipelines and transformation frameworks across the enterprise. The ideal candidate will work closely with data architects, platform engineers, and DevOps teams to build scalable, resilient, and efficient data engineering solutions using modern Azure tools and best practices.

The key responsibilities include:

  • Designing and building scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics.
  • Developing and optimizing PySpark/Spark SQL jobs for large-scale batch and streaming data transformations.
  • Ingesting data from various sources including Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
  • Implementing data modeling strategies (star schema, snowflake schema) for analytics consumption layers in Synapse or ADLS.
  • Collaborating with DevOps teams to automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
  • Maintaining and troubleshooting data workflows for performance, cost-efficiency, and reliability.

A successful candidate will have:

  • At least 5+ years of experience in data engineering roles.
  • Hands-on experience with:
    • Azure Data Factory (ADF) – building pipelines, triggers, linked services.
    • Azure Databricks – building and managing Spark jobs in PySpark.
    • Azure Synapse Analytics – data warehousing, SQL queries, workspace orchestration.
    • Apollo's Fire-hose – consuming and processing real-time data streams.
  • Strong skills in SQL, Python, and Spark for data manipulation and transformation.
  • Familiarity with CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).
  • Understanding of data lake architecture and modern data warehousing principles.

Bonus points for:

  • Experience with Delta Lake, Event Hub, or Azure Stream Analytics.
  • Familiarity with infrastructure-as-code tools like Terraform or ARM templates.
  • Exposure to Data Governance, Data Quality frameworks, or metadata management.
  • Understanding of networking, security, and access control in Azure data services.

Professional certifications:

  • Microsoft Certified: Azure Data Engineer Associate.
  • Databricks Certified Associate Developer for Apache Spark.
  • Azure Fundamentals (AZ-900) – optional but helpful.

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