Senior Cloud Data Architect

6 days ago

Allahabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Azure Data Engineer

This role involves 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.

Key Responsibilities:
  • 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.).
  • 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.
Required Skills and Qualifications:
  • 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.
  • Apache Kafka – consuming and processing real-time data streams.
  • Strong 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.
Benefits:

This position offers a unique opportunity to work with cutting-edge technology and collaborate with experienced professionals in the field.

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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