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 strong 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:
Solid 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 (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru