Senior Data Engineering Specialist

2 days ago

Anand, Gujarat, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 24,00,000

Job Summary:

We are seeking a skilled Data Engineer to play a critical role in designing, developing, and managing data pipelines and transformation frameworks.

The ideal 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
  • Develop and Optimize PySpark/Spark SQL Jobs
  • Ingest Data from Various Sources
  • Implement Data Modeling Strategies
  • Collaborate with DevOps Teams
  • Monitor, Troubleshoot, and Optimize Data Workflows
  • Follow Coding Standards and Participate in Peer Reviews
  • Support Data Quality Checks and Logging Mechanisms
  • Participate in Sprint Ceremonies

Required Skills and Qualifications:

• 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).

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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