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# Databricks Developer

- **Company:** Tata Consultancy Services Limited
- **Location:** Raleigh, NC, United States
- **Salary:** $100,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Data Processing, Large Language Models, Data Lakes, Virtual Agents, Data Pipelines, Databricks
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ea896dc6fd17cc57

## About the Role

* Design and develop scalable data pipelines and ETL workflows using Databricks (Spark, PySpark)

 * Build and optimize Delta Lake architectures for high-performance data processing

 * Develop and deploy AI/ML models and advanced analytics solutions

 * Implement Agentic AI / GenAI solutions using Databricks (e.g., Agent Bricks, LLM-based workflows)

 * Develop BI and analytics datasets for downstream reporting and visualization

 * Collaborate with business and data science teams to translate requirements into solutions

 * Optimize performance, cost, and scalability of data pipelines on cloud platforms

 * Ensure data quality, governance, and compliance standards are met

 * Excellent problem-solving and communication skills., * Strong hands-on experience with Databricks (Workflows, Delta Lake, Unity Catalog)

 * Expertise in ETL/Data Engineering using Spark/PySpark

 * Experience with AI/ML model development and deployment

 * Knowledge of Agentic AI / GenAI frameworks and LLM integration

 * Strong understanding of cloud platforms (AWS / Azure / GCP)

 * Experience with BI tools (Power BI, Tableau, etc.)

 * Proficiency in SQL, Python, Qualifications : BACHELOR OF COMPUTER SCIENCE

## Description

* Design and develop scalable data pipelines and ETL workflows using Databricks (Spark, PySpark)

 * Build and optimize Delta Lake architectures for high-performance data processing

 * Develop and deploy AI/ML models and advanced analytics solutions

 * Implement Agentic AI / GenAI solutions using Databricks (e.g., Agent Bricks, LLM-based workflows)

 * Develop BI and analytics datasets for downstream reporting and visualization

 * Collaborate with business and data science teams to translate requirements into solutions

 * Optimize performance, cost, and scalability of data pipelines on cloud platforms

 * Ensure data quality, governance, and compliance standards are met


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