Job Description

Greetings from Tata Consultancy Services Recruitment Team!

*Face to Face* Interview for all those Databricks Developer we are coming bigger with the plan of Face to Face Drive on 8th August,2026 (Saturday) in Kolkata

It is a Face to Face interview planned to attract great Talents in Databricks Developer. We believe that your skills and expertise are a better match for the skills we are looking for.

Skill: Databricks Developer (Face to Face)

Years of experience: 4 to 12 Years

Location: TCS Delta Park – Lords Building, Tata Consultancy Services (TCS), Plot C, Block EP & GP, Salt Lake Electronics Complex, Sector V (Bidhannagar), Kolkata, West Bengal –700091, India

Date: 8th August ,2026 (Saturday) (Face to Face)

Drive Time: 9 AM to 2 PM

** Ex TCS Employees are not eligible to apply.

** Candidates From Kolkata & Nearby Locations are eligible to apply.

Job Requirements*

- 6–12 years of hands-on experience in data engineering and big data development, working with Apache Spark and the Databricks platform.
- Solid programming skills in Python (with PySpark) and/or Scala, with the ability to write efficient, scalable code for data processing on distributed systems.
- Proven experience in designing and managing ETL pipelines, data ingestion processes, and transformations for large datasets in production environments.
- In-depth knowledge of data warehousing concepts, data modeling, and working with both relational and NoSQL databases; ability to optimize SQL queries and Spark jobs for performance.
- Familiarity with cloud services (such as AWS or Azure) in context of big data solutions, including cluster management and resource optimization on cloud platforms.




- Excellent problem-solving skills, attention to detail, and the ability to work effectively in a fast-paced, collaborative environment, managing multiple priorities and communicating technical issues proactively.

Key Responsibilities*

- Design & Develop Data Pipelines: Architect, develop, and maintain scalable data processing pipelines on Databricks, using Spark (PySpark/Scala) to ingest, transform, and aggregate large volumes of data from various sources.
- Optimize Performance: Profile and optimize Spark jobs and Databricks clusters for efficient resource usage, low latency, and reliability, including implementing best practices like partitioning, caching, and optimized data formats (Parquet, Delta Lake).
- Implement ETL Workflows: Create robust ETL/ELT workflows to ensure data quality and integrity, handling both batch processing and real-time streaming data using structured streaming and scheduling jobs via Databricks or external orchestrators.
- Integrate & Collaborate: Work closely with data architects, data scientists, and business analysts to integrate data engineering solutions with analytics and machine learning models. Provide clean, curated data sets and support new data requirements.
- Ensure Security & Governance: Implement and uphold data security and governance standards within pipelines, including data encryption, access controls, and compliance with company policies and regulatory requirements.
- Documentation & Mentorship: Document pipeline designs, transformation logic, and operational procedures. Mentor junior data engineers on best practices in big data development and maintain coding standards across projects.

📌 Databricks Developer (Kolkata)
🏢 Tata Consultancy Services
📍 Kolkata