Job Title : PySpark Developer

Location: Chennai / Bangalore / Hyderabad / Pune

Notice Period : Immediate to 30 Days

:

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
Positive knowledge of Hadoop (Hive, HDFS, YARN)
Robust 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