Azure Data Engineering

22 hours ago

Hyderabad, Telangana, India Bilvantis Technologies Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Description: Azure Data Engineering (ADF, Python, SQL & DW) – Lead Programmer Analyst

We are looking for a highly skilled and experienced Azure Data Engineering (ADF, Python, SQL & DW) as a Lead Programmer Analyst.

Technical Expertise:

  • Experience should have 5 Years to 7 Years of Azure Data Engineering.
  • Strong expertise in Azure Data Factory (ADF) – pipelines, activities, triggers, linked services, and integration runtimes.
  • Proficiency in Python for scripting, data wrangling, and automation.
  • Experience with Azure Data Lake Storage (ADLS), Azure SQL, Synapse Analytics, or Databricks.
  • Strong knowledge of SQL (queries, stored procedures, performance tuning).
  • Understanding of data modeling, data warehousing, and data integration patterns.
  • Experience working in CI/CD environments (Azure DevOps preferred).
  • Familiarity with logging, monitoring, and debugging ADF pipelines.
  • Knowledge in Databricks
  • Understanding on the SDLC.
  • Understanding on the Agile methodologies.
  • Communication with customer and producing the Daily status report.
  • Should have good oral and written communication.
  • Should be a good team player.
  • Should be proactive and adaptive.

Key Responsibilities:

  • Design, develop, and maintain ADF pipelines for data ingestion, transformation, and orchestration.
  • Integrate Python scripts within ADF pipelines for advanced data processing and automation.
  • Work with Azure services such as Data Lake, Synapse Analytics, Databricks, Event Hub, and Key Vault.
  • Build and optimize ETL/ELT solutions for batch and real-time processing.
  • Collaborate with data engineers, analysts, and business teams to understand requirements and deliver solutions.
  • Implement best practices for data security, governance, and performance optimization.
  • Perform troubleshooting, monitoring, and tuning of pipelines for reliability and efficiency.
  • Prepare and maintain technical documentation for all development activities.

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