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Databricks Developer

Tata Consultancy Services (TCS) · Durham, US

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 SQL, Python

Salary Range: $100,000 to $140,000 per year

Location

Raleigh, NC

Job Function

TECHNOLOGY

Role

Engineer

Job Id

417649

Desired Skills

Spark

Salary Range

$100,000-$140,000 a year

Desired Candidate Profile

Qualifications : BACHELOR OF COMPUTER SCIENCE

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