PySpark Developer
Infosys · Bengaluru · onsite · Posted 44d ago
Undisclosed3–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Service Line
Data Analytics Unit
Responsibilities - Develop and maintain data pipelines using PySpark
- Process and analyze large-scale datasets in distributed environments
- Design and implement ETL/ELT workflows
- Optimize Spark jobs for performance and scalability
- Work with data stored in HDFS, Hive, or cloud storage (S3, ADLS)
- Collaborate with data engineers, analysts, and business teams
- Ensure data quality, integrity, and governance
- Debug and troubleshoot data processing issues
- Automate workflows using scheduling tools (Airflow, Oozie, etc.)
- Write clean, scalable, and efficient code
- Technology - Big Data - Data Processing - PySpark
- Bachelor of Engineering
- BTech
- BSc
- BCA
- MTech
- MSc
- MCA
Sourced from naukri
Skills
CalculationApache SparkScalaHiveHdfsamazon web servicesNatural Language Processingsqoopprocess engineeringoozieApache HadoopPysparkPythonMySQLSQLJavaETLMicrosoft AzureBig DataData ScienceMachine Learning
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
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Infosys is a global leader in next-generation digital services and consulting.
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