Databricks Developer
Role details
Job location
Tech stack
Job description
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Design and develop scalable data pipelines and ETL workflows using Databricks (Spark, PySpark)
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Build and optimize Delta Lake architectures for high-performance data processing
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Develop and deploy AI/ML models and advanced analytics solutions
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Implement Agentic AI / GenAI solutions using Databricks (e.g., Agent Bricks, LLM-based workflows)
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Develop BI and analytics datasets for downstream reporting and visualization
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Collaborate with business and data science teams to translate requirements into solutions
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Optimize performance, cost, and scalability of data pipelines on cloud platforms
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Ensure data quality, governance, and compliance standards are met
Requirements
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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)
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Expertise in ETL/Data Engineering using Spark/PySpark
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Experience with AI/ML model development and deployment
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Knowledge of Agentic AI / GenAI frameworks and LLM integration
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Strong understanding of cloud platforms (AWS / Azure / GCP)
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Experience with BI tools (Power BI, Tableau, etc.)
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Proficiency in SQL, Python, Qualifications : BACHELOR OF COMPUTER SCIENCE
Benefits & conditions
(part of Tata group) 3.93.9 out of 5 stars Raleigh, NC $100,000 - $140,000 a year