Cloud Data Engineer

14 hours ago

Ghaziabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 18,00,000

Job Summary:

We are seeking a skilled data engineer to join our team and play a critical role in designing, developing, and managing data pipelines and transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.

You will be working 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 ideal candidate will have hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, as well as strong skills in SQL, Python, and Spark for data manipulation and transformation.

Key Responsibilities
  • Design and build scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Develop and optimize PySpark/Spark SQL jobs for large-scale batch and streaming data transformations.
  • Ingest data from various sources including Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
  • Implement data modeling strategies (star schema, snowflake schema) for analytics consumption layers in Synapse or ADLS.
  • Collaborate with DevOps teams to automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
  • 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.
Requirements
  • 5+ years of experience in data engineering roles.
  • Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Strong skills in SQL, Python, and Spark for data manipulation and transformation.
  • Exposure to CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).
  • Understanding of data lake architecture and modern data warehousing principles.

Preferred Certifications:

Microsoft Certified: Azure Data Engineer Associate

Databricks Certified Associate Developer for Apache Spark

Azure Fundamentals (AZ-900)

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