Posted:2 months ago|
Platform:
Hybrid
Full Time
Work Mode: Hybrid
Experience: 5 to 10 Years
Design, develop, and maintain scalable data pipelines and ETL processes using AWS services (Glue, Lambda, RedShift).
Write efficient, reusable, and maintainable Python and PySpark scripts for data processing and transformation.Optimize SQL queries for performance and scalability.Expertise in writing complex SQL queries and optimizing them for performance.Monitor, troubleshoot, and improve data pipelines for reliability and performance.
Focusing on ETL automation using Python and PySpark, responsible for design, build, and maintain efficient data pipelines,
ensuring data quality and integrity for various applications.
Globant
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