data bricks Developer

Tata Consultancy Services; Hyderabad, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services (TCS) invites experienced Databricks Developer/Lead to design, develop, and optimize data solutions using Databricks, Spark, and Delta Lake. The role focuses on building data pipelines, data lakes, and data warehouses with strong Python/Scala/Java capabilities.

Candidates should excel in collaboration with data scientists, ensure data quality, and drive performance improvements across Spark jobs and notebooks in a fast-paced data engineering environment.

Qualifications

• Databricks, Spark, Delta Lake expertise required.
• Proficient in Python/Scala/Java for data engineering tasks.
• Experience with data pipelines, data warehouses, and ETL tools.
• ML modeling experience and understanding of data science workflows.
• Excellent communication and collaboration skills are essential.

Responsibilities

• Data Solution Development: design, develop, and optimize data solutions using Databricks, Spark, and related technologies.
• Data Engineering: build and maintain data pipelines, data lakes, and data warehouses using Databricks, Delta Lake, and related tools.
• Data Science: collaborate with data scientists to deploy ML models and optimize workflows.
• Performance Optimization: tune Spark jobs and notebooks for performance and scalability.
• Collaborate with cross-functional teams to ensure data quality and align requirements.

Skills

Databricks / Spark

Python / Scala / Java

Data Engineering & ETL

SQL

Unity Catalogue / Workflows

Data Science / ML

Communication

Tools

Delta Lake

Unity Catalogue

Workflows/Jobs

Job description

TCS Walk-In DRIVE!!!

Mode: Face-to-face (Offline)

Experience: 4-15 Years

Walk-In Drive Date: 08 Aug 26 (sat)

Walk-In Locations: Hyderabad,Bengaluru,

Job Title: Databricks Developer / Lead
Experience: 6-15 years

Location: Bengaluru ,Hyderabad

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.

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.
• Communication: Excellent communication and collaboration skills.