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PySpark Developer | Python | SQL

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Onsite

PySpark Developer | Python | SQL

Tata Consultancy Services

PySpark Developer | Python | SQL

Skills

Google Cloud PlatformSQL QueriesPythonSnowflakeGitAWSPySparkApache AirflowHadoopComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

27 August 2026

What they need


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:

  • 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

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