Job Title: PySpark Developer /n Location: Chennai / Bangalore / Hyderabad / Pune /n Notice Period: Immediate to 30 Days /n : /n 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. /n Key Responsibilities : /n /n

- Design, develop, and maintain scalable ETL/ELT pipelines using PySpark.

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- Build and optimize Spark jobs for performance, reliability, and scalability.

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- Process and transform large datasets using Spark SQL, DataFrames, and RDDs.

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- Develop batch and real-time data processing solutions.

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- Integrate data pipelines with Hive, HDFS, Snowflake, Redshift, and other data platforms.

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- Collaborate with data engineers, analysts, and business stakeholders.

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- Monitor data pipelines, troubleshoot issues, and ensure SLA compliance.

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- Follow coding best practices, version control, and CI/CD processes.

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- Work with Hadoop ecosystem tools and cloud platforms such as AWS, Azure, or GCP.

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- Robust hands-on experience in Python and PySpark

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- Expertise in Spark SQL, DataFrames, and RDDs

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- Good knowledge of Hadoop (Hive, HDFS, YARN)

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- Strong SQL and query optimization skills

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- Experience with Data Warehousing concepts

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- Knowledge of Parquet, Avro, JSON data formats

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- Experience with Git version control

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- Familiarity with Airflow, Oozie, or similar scheduling tools

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- Exposure to AWS, Azure, or GCP is an added advantage

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