Data Solutions Architect

6 days ago

Ahmedabad, Gujarat, India beBeeData Full time ₹ 12,00,000 - ₹ 15,00,000
Design Data Engineering Solutions

Job Description:

As a data engineer, you will play a critical role in designing and developing scalable, resilient, and efficient data engineering solutions using modern Azure tools and best practices.

  • Design and build scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), 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.).

Required Skills and Qualifications:

To be successful in this role, you must have:

  • 5+ years of experience in data engineering roles.
  • Hands-on experience with:
    • Azure Data Factory (ADF)
    • Azure Databricks
    • Azure Synapse Analytics
    • Apache Kafka
  • Strong knowledge of SQL, Python, and Spark for data manipulation and transformation.
  • Exposure to CI/CD practices.

Benefits:

This role offers the opportunity to work with cutting-edge technology and collaborate with a team of experts in the field. If you are passionate about data engineering and want to make a meaningful contribution to our organization, we encourage you to apply.

Preferred Certifications:

Microsoft Certified: Azure Data Engineer Associate

Databricks Certified Associate Developer for Apache Spark

Azure Fundamentals (AZ-900)

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