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Databricks Developer
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Tata Consultancy Services
Raleigh, NC (In Person)
$120,000 Salary, Full-Time
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Job Description
Databricks Developer Tata Consultancy Services - 3.9 Raleigh, NC Job Details $100,000 - $140,000 a year 1 hour ago Qualifications AI models Data integrity assurance Data quality checks Databricks Data compliance Data visualization software proficiency Data Integration (Data management) Spark Business intelligence report generation Generative models AI platforms (beyond public GPTs) Computational framework SQL Technical solutions implementation Machine learning cloud services Business intelligence tools Machine intelligence Model deployment Data quality monitoring Developing large-scale AI models Scalability Cloud solution engineering Business requirements Machine learning libraries Data performance optimization Machine learning frameworks Data visualization projects Python Generative AI Data analytics technologies Full Job Description Must Have Technical/Functional Skills 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. Roles & Responsibilities We are seeking an experienced Databricks Developer to design, develop, and optimize scalable data and AI-driven solutions on cloud platforms. The role requires strong expertise in data engineering, machine learning, and modern analytics leveraging Databricks and AI frameworks. Key Responsibilities 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 Required Skills & Experience 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