Senior Data Engineering Professional

15 hours ago

Tirupati, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Job Title

A Data Engineering Expert is needed to build scalable data pipelines using modern Azure tools and best practices.

About the Role

The successful candidate will design, develop, and manage data transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.

Key Responsibilities:
  • Design and implement 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 for analytics consumption layers in Synapse or ADLS.
  • Collaborate with DevOps teams to automate deployment using CI/CD pipelines.
  • Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
Required Skills and Qualifications

Mandatory Skills:
• Hands-on experience with Azure Data Factory (ADF) – building pipelines, triggers, linked services.
• Strong understanding of SQL, Python, and Spark for data manipulation and transformation.

Benefits

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

Desirable 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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