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Technical Specialist-Data Engg

Technical Specialist-Data Engg

Birlasoft

0 years

0 Lacs

noida uttar pradesh india

Posted:2 days ago| Platform:

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Skills Required

data pyspark developer databricks development processing analytics architecture cutting engineering etl scalability efficiency design deployment azure support learning transactions testing devops github integration code collaboration documentation

Work Mode

On-site

Job Type

Full Time

Job Description

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.

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Technical Specialist-Data Engg