6 - 11 years
15 - 30 Lacs
Posted:9 hours ago|
Platform:
Hybrid
Full Time
Develop and maintain ETL processes using Python and PySpark.
Design and implement data pipelines and workflows.
Optimize and fine-tune data processing applications.
Collaborate with data scientists and analysts to understand data requirements.
Ensure data integrity and consistency across systems.
Write clean, scalable, and maintainable code.
Monitor and troubleshoot data processing jobs.
Python
PySpark
ETL
Data Pipeline
Big Data
AWS
GCP
Azure
Data Warehousing
Spark
Hadoop
Infosys
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