Tcs Hiring | Python+Pyspark Developers | Pune (Face To Face Interview)

V2 Solutions; Pune District; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services (TCS) in Pune is seeking Python and PySpark developers to design, build, and optimize scalable data pipelines for big data projects.

You will collaborate with data engineers, analysts, and architects to deliver robust Spark-based workflows, improve performance, and ensure data quality, governance, and security across distributed environments. Face-to-face interview in Pune on 4 July 2026.

Qualifications

• Strong hands-on experience in Python programming.
• Expertise in PySpark / Apache Spark.
• Experience with Hadoop, Hive, HDFS.
• Good understanding of SQL and data warehousing concepts.
• Familiar with ETL processes and data pipeline orchestration.
• Experience in cloud platforms (AWS/Azure/GCP) is a plus.
• Knowledge of data modelling and performance tuning.

Responsibilities

• Design, develop, and maintain data pipelines using PySpark.
• Work with large-scale datasets in distributed environments (Hadoop/Spark).
• Build optimized, reusable, and scalable data processing workflows.
• Collaborate with cross-functional teams including Data Engineers, Analysts, and Architects.
• Debug, tune, and optimize Spark jobs for performance.
• Ensure data quality, governance, and security standards.

Skills

Python

PySpark

Big Data

SQL & DW

ETL pipelines

Cloud platforms

Data modelling

Performance tuning

Job description

TCS Hiring | Python+Pyspark Developers | Face to Face Interview Job description TCS Hiring | Python+Pyspark Developers | Face-to-Face Interview Face-to-Face Interview Pune Date of Interview: 4 July 2026(Saturday) TCS Hiring | Python + PySpark Developers Location: Pune (Face-to-Face Interview) Experience: 4 12 Years Were Actively Hiring Join TCS! Are you passionate about Big Data, Distributed Computing, and Scalable Data Pipelines? TCS is looking for skilled Python + PySpark Developers to join our growing team in Pune. If you are ready to work on cutting-edge data solutions and high-impact projects, we'd love to meet you!

Key Responsibilities

• Design, develop, and maintain data pipelines using PySpark
• Work with large-scale datasets in distributed environments (Hadoop/Spark)
• Build optimized, reusable, and scalable data processing workflows
• Collaborate with cross-functional teams including Data Engineers, Analysts, and Architects
• Debug, tune, and optimize Spark jobs for performance
• Ensure data quality, governance, and security standards

Required Skills

• Strong hands-on experience in Python programming
• Expertise in PySpark / Apache Spark
• Experience with Big Data technologies (Hadoop, Hive, HDFS)
• Good understanding of SQL and data warehousing concepts
• Familiarity with ETL processes and data pipeline orchestration
• Experience in cloud platforms (AWS/Azure/GCP) is a plus
• Knowledge of data modelling and performance tuning