Data Engineering Project Lead

1 week ago

Kozhikode, Kerala, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Job Overview

We are seeking a seasoned Data Engineer with hands-on experience in the Microsoft Azure data ecosystem to play a pivotal 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.

  • Design and Build ETL/ELT Pipelines: Utilize Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics to create scalable data pipelines.
  • Develop and Optimize PySpark/Spark SQL Jobs: Construct large-scale batch and streaming data transformations using PySpark/Spark SQL.
  • Ingest Data from Various Sources: Ensure real-time or near-real-time availability of data from Apache Kafka, REST APIs, and RDBMS.
  • Implement Data Modeling Strategies: Design star schema, snowflake schema for analytics consumption layers in Synapse or ADLS.
  • Collaborate with DevOps Teams: Automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).

Required Skills and Qualifications:

  • 5+ years of experience in data engineering roles.
  • Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Apache Kafka, SQL, Python, and Spark.
  • Exposure to CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).
  • Understanding of data lake architecture and modern data warehousing principles.

Benefits:

  • Opportunity to work on cutting-edge data engineering projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

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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