Senior Cloud Architect

1 day ago

Nashik, Maharashtra, India beBeeData Full time ₹ 1,00,00,000 - ₹ 1,20,00,000

Job Title: Data Engineering Professional

Experience: 6 to 9 Years

Location: Bangalore / Mumbai (any) (Hybrid WFO)

We are seeking an experienced Data Engineer with expertise in designing, developing, and managing data pipelines and transformation frameworks. The ideal candidate will play a critical role in enabling analytics, reporting, and business intelligence capabilities across the enterprise.

The successful candidate will work 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: Utilize Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics to create efficient and reliable data pipelines.
  • Develop and Optimize PySpark/Spark SQL Jobs: Write and optimize large-scale batch and streaming data transformations using PySpark/Spark SQL jobs.
  • Ingest Data from Various Sources: Ingest data from Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
  • Implement Data Modeling Strategies: Develop star schema and snowflake schema for analytics consumption layers in Synapse or ADLS.
  • Collaborate with DevOps Teams: Work with DevOps teams to automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
  • Monitor and Troubleshoot Data Workflows: Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
  • Follow Coding Standards: Adhere to coding standards, participate in peer reviews, and maintain version-controlled code in Git repositories.
  • Support Data Quality Checks: Participate in data quality checks, logging, alerting, and observability mechanisms for production workloads.
  • Participate in Sprint Ceremonies: Participate in sprint ceremonies and contribute to task estimation and delivery planning.

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
  • Strong Knowledge in SQL, Python, and Spark
  • Exposure to CI/CD Practices

Benefits:

This is an excellent opportunity to work with a leading organization and contribute to the development of innovative data engineering solutions.

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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