Senior Cloud Data Professional

2 weeks ago

Aligarh, Uttar Pradesh, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Cloud Data Architect

We are seeking a highly skilled Cloud Data Architect to design, build, and manage our cloud-based data architecture. The ideal candidate will have hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

The successful candidate will be responsible for designing scalable data pipelines, building data warehouses, and developing data transformation frameworks using modern cloud tools and best practices. They will also collaborate with cross-functional teams to implement data governance policies, ensure data quality, and optimize data workflows for performance and cost-efficiency.

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.

Must-Have Skills:

  • 5+ years of experience in data engineering roles.
  • Hands-on experience with:
    • 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.

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.
  • Understanding of networking, security, and access control in Azure data services.

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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