Live opening · Posted 10 days ago
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About the role
Description supplied by the original job listing.
Responsibilities:
Build and maintain data processing pipelines.
Work on Apache Spark for large-scale data processing.
Design and manage ETL/ELT workflows.
Handle workflow orchestration (e. g., scheduling and monitoring jobs).
Work with MySQL and MongoDB for data storage and retrieval.
Ensure data quality, performance, and reliability of pipelines.
Requirements:
Hands-on experience with Apache Spark / PySpark.
Experience building data pipelines (ETL/ELT).
Familiarity with workflow orchestration tools (e. g., Airflow or similar).
Strong knowledge of MySQL.
Experience with MongoDB.
Good understanding of data processing and backend systems.
Experience
1-3 yrs
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