Senior Cloud Data Architect

1 week ago

Jodhpur, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Data Engineer – Azure Platform

Experience Required: 5-7 Years

About the Role:

We are seeking a skilled data engineer to 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.

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.
  • 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), Azure Databricks, Azure Synapse Analytics, Apache Kafka.
  • 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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