Azure Databricks Data Engineer

Infosys

Hyderabad, Pune District, Bengaluru

On-site

INR 850,000 - 1,200,000

Full time

14 days+

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Job summary

Infosys in Hyderabad is hiring a Data Bricks-Data Engineer with 2 to 5 years of experience. The role focuses on building scalable data pipelines, Spark applications, and Delta Lake-based Lakehouse architecture to support data modernization initiatives.

The candidate will collaborate with data scientists, BI developers, and stakeholders to ensure data quality, governance, and efficient deployment pipelines in a cloud-friendly environment.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build and optimize ETL/ELT processes for large-scale data ingestion and transformation.
  • Develop Spark and PySpark applications for batch and real-time processing.
  • Implement Lakehouse architecture using Delta Lake.
  • Create and maintain data models, tables, and data warehouses.
  • Optimize Databricks jobs, Spark performance, and query execution.
  • Integrate data from multiple cloud and on-premises sources.
  • Ensure data quality, governance, and security standards.
  • Work with Unity Catalog for data governance and access management.
  • Automate deployments using CI/CD and Infrastructure as Code (Terraform).
  • Monitor and troubleshoot production data pipelines.
  • Collaborate with Data Scientists, BI Developers, and Business Stakeholders.
  • Support cloud migration and data modernization initiatives.

Job description

Position: Data Bricks-Data Engineer

Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full-Time


Roles & Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build and optimize ETL/ELT processes for large-scale data ingestion and transformation.
  • Develop Spark and PySpark applications for batch and real-time processing.
  • Implement Lakehouse architecture using Delta Lake.
  • Create and maintain data models, tables, and data warehouses.
  • Optimize Databricks jobs, Spark performance, and query execution.
  • Integrate data from multiple cloud and on-premises sources.
  • Ensure data quality, governance, and security standards.
  • Work with Unity Catalog for data governance and access management.
  • Automate deployments using CI/CD and Infrastructure as Code (Terraform).
  • Monitor and troubleshoot production data pipelines.
  • Collaborate with Data Scientists, BI Developers, and Business Stakeholders.
  • Support cloud migration and data modernization initiatives.
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