Cloud Computing Data Engineer

1 day ago

Thāne, Maharashtra, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Azure Data Engineer (Cloud Computing Expert)

Experience: 5-9 years

About the Role:

We are looking for a skilled data engineer with hands-on experience in designing, developing, and managing scalable data pipelines and transformation frameworks. The ideal candidate will play a critical role in enabling analytics, reporting, and business intelligence capabilities across the enterprise.

You will be working closely with data architects, platform engineers, and DevOps teams to build efficient data engineering solutions using modern cloud tools and best practices.

Key Responsibilities:

  • Design and build scalable ETL/ELT pipelines using cloud-based technologies.
  • Develop and optimize PySpark/Spark SQL jobs for large-scale batch and streaming data transformations.
  • Ingest data from various sources, ensuring real-time or near-real-time availability.
  • Implement data modeling strategies (star schema, snowflake schema) for analytics consumption layers.
  • Collaborate with DevOps teams to automate deployment using CI/CD pipelines.
  • Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
  • Follow coding standards, participate in peer reviews, and maintain version-controlled code in Git repositories.
  • Support data quality checks, logging, alerting, and observability mechanisms for production workloads.
  • Participate in sprint ceremonies and contribute to task estimation and delivery planning.

Must-Have Skills:

  • 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.
  • Strong in SQL, Python, and Spark for data manipulation and transformation.
  • Exposure to CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).

Nice-to-Have Skills:

  • 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.

Preferred 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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