AWS Data Engineer/ Data Bricks/Pyspark(Walk in for Bangalore)

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

Job summary

Tata Consultancy Services in Bengaluru is seeking an experienced data engineer with 5 to 12 years of hands-on experience in building reliable data pipelines. The role focuses on Kafka streaming, PySpark, Databricks, AWS, Airflow, and end-to-end data integration.

You will work on complex projects requiring SQL/PLSQL, Unix Shell Scripting, Autosys, and diverse databases like Oracle, PostgreSQL, and NoSQL. Strong problem solving and Agile practices are essential for success.

Qualifications

• Must have 5–12 years of experience in data engineering or related roles.
• Strong hands-on experience with Kafka streaming and PySpark.
• Experience with Databricks architecture and AWS cloud services.
• Proficient in SQL/PLSQL, Unix shell scripting and Autosys.

Responsibilities

• Work on complex deadline-driven data projects with minimal supervision.
• Architect, design and develop data pipelines that meet requirements.
• End-to-end Databricks implementations with streaming data.
• Integrate data using APIs and streaming approaches across platforms.
• Collaborate in an Agile environment using GitHub for version control.

Skills

Kafka

Python

PySpark

Databricks

AWS

Airflow

SQL

GitHub

Data Modeling

Performance tuning

Tools

Databricks

Airflow

Autosys

Oracle

PostgreSQL

Job description

Experience: 05 to 12 yrs

Drive Location: Tata Consultancy Services ,A Block,2nd floor ,Yeshwanthpur Towers

Reporting Time: 9:30am-12:30pm

Mode of Interview: Walk in Drive

Date of Interview: 29th August, 2026

Responsibilities :-

• Worked in a complex deadline driven projects with minimal supervision. Ability to architect/design/develop with minimum requirements by effectively.
• Work Experience on Apache Kafka streaming processing and Python/PySpark.
• End to end understanding of Databricks architecture, design, development and implementation.
• A good experience on AWS clouds and Data bricks,Airflow.
• Excellent work ethics with ability to work independently.
• Hands-on experience in SQL, PL/SQL, Unix Shell Scripting, Autosys.
• Experience with relational databases such as Oracle, PostgreSQL as well as NoSQL databases
• Data integration techniques and tools including APIs and data streaming
• Strong analytical and problem solving skills, with the ability to identify and resolve issues in data pipelines and systems
• Experience with Agile software development methodology and version control systems like GitHub
• Expertise in Data Modeling and DB design with the skills in performance tuning