Data Engineering Technical Specialist

3 days ago

INDIA NOIDA BIRLASOFT OFFICE IN Birlasoft Limited Full time ₹ 5,00,000 - ₹ 12,00,000 per year

Technical Specialist-Data Engg

Area(s) of responsibility

ROLE SUMMARY

We are seeking a highly skilled PySpark Developer with hands-on experience in Databricks to join IT Systems Development unit in an offshore capacity. This role focuses on designing, building, and optimizing large-scale data pipelines and processing solutions on the Databricks Unified Analytics Platform. The ideal candidate will have expertise in big data frameworks, distributed computing, and cloud platforms, with a deep understanding of Databricks architecture. This is an excellent opportunity to work with cutting-edge technologies in a dynamic, fast-paced environment.

ROLE RESPONSIBILITIES

Data Engineering and Processing:

  • Develop and manage data pipelines using PySpark on Databricks.
  • Implement ETL/ELT processes to process structured and unstructured data at scale.
  • Optimize data pipelines for performance, scalability, and cost-efficiency in Databricks.

Databricks Platform Expertise:

  • Experience in Perform Design, Development & Deployment using Azure Services (Data Factory, Databricks, PySpark, SQL)
  • Develop and maintain scalable data pipelines and build new Data Source integrations to support increasing data volume and complexity.
  • Leverage the Databricks Lakehouse architecture for advanced analytics and machine learning workflows.
  • Manage Delta Lake for ACID transactions and data versioning.
  • Develop notebooks and workflows for end-to-end data solutions.

Cloud Platforms and Deployment:

  • Deploy and manage Databricks on Azure (e.g., Azure Databricks).
  • Use Databricks Jobs, Clusters, and Workflows to orchestrate data pipelines.
  • Optimize resource utilization and troubleshoot performance issues on the Databricks platform.

CI/CD and Testing:

  • Build and maintain CI/CD pipelines for Databricks workflows using tools like Azure DevOps, GitHub Actions, or Jenkins.
  • Write unit and integration tests for PySpark code using frameworks like Pytest or unittest.

Collaboration and Documentation:

  • Work closely with data scientists, data analysts, and IT teams to deliver robust data solutions.
  • Document Databricks workflows, configurations, and best practices for internal use.
Experience LevelMid Level

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