PySpark Developer

Infosys
Bengaluru East, Karnataka, India

Strong experience in PySpark. Good programming knowledge of Python. Hands-on experience with SQL. Understanding of ETL/ELT concepts and data warehousing. Experience working with large datasets and distributed processing. Knowledge of Spark SQL, DataFrames, and Spark transformations. Familiarity with Linux/Unix environment.

Design, develop, and maintain data pipelines using PySpark. Develop ETL/ELT processes for ingesting, transforming, and loading large volumes of data. Write optimized PySpark code for data processing and transformation. Work with structured and semi-structured data from multiple sources. Develop and optimize SQL queries for data extraction and validation. Troubleshoot data quality and performance issues. Collaborate with Data Engineers, Analysts, and Business teams to understand requirements. Participate in code reviews and follow data engineering best practices. Monitor and support production data pipelines.

Exposure to cloud platforms such as AWS, Azure, or GCP. Knowledge of Databricks. Experience with workflow orchestration tools such as Airflow. Understanding of CI/CD concepts.

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Questions about this job

How do I apply for the PySpark Developer job at Infosys?

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What skills does Infosys want for this PySpark Developer role?

The job description asks for PySpark, Python, SQL, ETL/ELT, data warehousing, Spark SQL, DataFrames and Spark transformations. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

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Is this PySpark Developer job remote or onsite?

This is based in Bengaluru East, Karnataka.

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