Python Pyspark Developer_ Weekend Inperson Interview_ Date-22-Aug-26

Tata Consultancy Services; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Tata Consultancy Services in Chennai is seeking an experienced Python PySpark Developer to join our data engineering team for scalable pipeline work. The role requires strong expertise in PySpark, Python, and Big Data technologies to design and optimize ETL processes.

Ideal candidates have 5+ years of IT experience and are ready to participate in a weekend in-person interview. This position emphasizes data quality, performance, and collaboration with stakeholders.

Qualifications

• We are looking for an experienced Python PySpark Developer with strong expertise in big data processing, ETL development, and data engineering.
• The candidate will be responsible for building scalable data pipelines and optimizing data processing frameworks.
• Note — Only relevant candidates will be considered.

Responsibilities

• Design and develop scalable data pipelines using Python and PySpark.
• Work with structured and unstructured data sources.
• Optimize Spark jobs for performance and scalability.
• Collaborate with business and technical stakeholders.
• Ensure data quality, reliability, and performance.

Skills

Python

PySpark

Spark

Hadoop

Hive

ETL development

Big data processing

Data engineering

Problem solving

Communication

Tools

Spark

Hadoop

Hive

Job description

TCS hiring Weekend Inperson Interview on 22nd Aug-26(Saturday)

Position-Python PySpark Developer

Experience- 5 to 12 Years

Mode of Interview- Face to Face

Date-22-Aug-2026(Saturday)

#Chennai-Tata Consultancy Services : Siruseri Campus is located at Plot No. 1/G1, SIPCOT IT Park, Navalur Post, Siruseri, Chennai, Tamil Nadu 603103

Job Description

We are looking for an experienced Python PySpark Developer with strong expertise in big data processing, ETL development, and data engineering. The candidate will be responsible for building scalable data pipelines and optimizing data processing frameworks.

Key Responsibilities

• Design and develop scalable data pipelines using Python and PySpark.
• Work with structured and unstructured data sources.
• Optimize Spark jobs for performance and scalability.
• Collaborate with business and technical stakeholders.
• Ensure data quality, reliability, and performance.

Required Skills

• 5+ years of IT experience.
• Strong hands-on experience in Python and PySpark.
• Experience with Spark, Hadoop, Hive, or related Big Data technologies.
• Experience in data transformation and ETL development.
• Good problem-solving and communication skills.

Note- Only relevant candidates will be consider.