[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Chennai # Databricks Developer Chennai Software Engineering Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/424713J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Databricks Developer ## Job description ### Job Title Databricks Developer / Lead Experience: 6-15 years Job Location: Pan India (metro cities) ### Job Summary An experienced Databricks Developer / Lead to design, develop, and optimize data solutions using Databricks, Spark, and related technologies. The ideal candidate should have a strong background in data engineering, data science, and programming languages like Python, Scala, or Java. ### Data Solution Development - Design, develop, and optimize data solutions using Databricks, Spark, and related technologies. ### Data Engineering - Develop and maintain data pipelines, data lakes, and data warehouses using Databricks, Delta Lake, and other tools. ### Data Science - Collaborate with data scientists to deploy machine learning models and optimize data science workflows. ### Performance Optimization - Optimize Spark jobs, Databricks notebooks, and data pipelines for performance and scalability. ### Collaboration - Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality Required Skills: ### Databricks - In-depth knowledge of Databricks, Spark, Delta Lake, and related technologies. ### Programming - Strong programming skills in Python, Scala, or Java. ### Data Engineering - Experience with data engineering, data warehousing, and ETL tools. - Expertise in SQL, Unity Catalogue, Workflows/Jobs ### Data Science - Experience with data science, machine learning, and statistical modeling. ### Communication - Excellent communication and collaboration skills. ### Cloud Experience - Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud. ### Machine Learning - Experience with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn. ### Certifications - Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data Scientist