Job Title:

PySpark Developer
Location:

Chennai / Bangalore / Hyderabad / Pune
Notice Period:

Immediate to 30 Days

Job Description :
We are seeking a skilled

PySpark Developer

with solid experience in Python, PySpark, SQL, and Data Warehousing concepts. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data processing pipelines and ETL solutions using Spark-based technologies.

Key Responsibilities :
Design, develop, and maintain scalable ETL/ELT pipelines using PySpark.
Build and optimize Spark jobs for performance, reliability, and scalability.
Process and transform large datasets using Spark SQL, DataFrames, and RDDs.
Develop batch and real-time data processing solutions.
Integrate data pipelines with Hive, HDFS, Snowflake, Redshift, and other data platforms.
Collaborate with data engineers, analysts, and business stakeholders.




Monitor data pipelines, troubleshoot issues, and ensure SLA compliance.
Follow coding best practices, version control, and CI/CD processes.
Work with Hadoop ecosystem tools and cloud platforms such as AWS, Azure, or GCP.

Required Skills:
Strong hands-on experience in

Python and PySpark
Expertise in

Spark SQL, DataFrames, and RDDs
Good knowledge of

Hadoop (Hive, HDFS, YARN)
Strong

SQL

and query optimization skills
Experience with

Data Warehousing concepts
Knowledge of

Parquet, Avro, JSON

data formats
Experience with

Git

version control
Familiarity with

Airflow, Oozie, or similar scheduling tools
Exposure to

AWS, Azure, or GCP

is an added advantage

📌 PySpark Developer | Python | SQL (Mumbai)
🏢 Tata Consultancy Services
📍 Mumbai