Walk-in | Databricks developer _Walk-in drive on 19th September 26

Tata Consultancy Services; Chennai District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tata Consultancy Services is seeking a Databricks Developer in Chennai to design and optimize data solutions using Databricks and Spark. The role involves building data pipelines, data lakes, and data warehouses, and collaborating with data scientists to deploy ML models while ensuring data quality.

The ideal candidate will have 4–10 years of experience with Databricks, Spark, Delta Lake, and related technologies, and strong skills in Python, Scala, or Java.

Qualifications

• Deep knowledge of Databricks, Spark, Delta Lake and related technologies.
• Strong programming skills in Python, Scala, or Java.
• Experience in data engineering, data warehousing, and ETL tools.
• Proficiency in SQL and Unity Catalogue, Workflows/Jobs.
• Experience with data science, ML, and statistical modeling.

Responsibilities

• Design, develop, and optimize data solutions on Databricks and Spark.
• Build and maintain data pipelines, data lakes, and data warehouses.
• Collaborate with data scientists to deploy ML models and optimize workflows.
• Optimize Spark jobs, Databricks notebooks, and pipelines for performance.
• Coordinate with cross-functional teams to ensure data quality and requirements.

Skills

Databricks

Programming

Data Engineering

SQL

Data Science

Tools

Spark

Delta Lake

Unity Catalogue

Workflows/Jobs

Job description

Job Title: Databricks Developer

Experience: 4-10 years

Walk in Drive Location - Chennai

Walk in Date - 19th September 2026

About the Role

Responsibilities

• 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.

Preferred 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.