Live opening · Posted 11 days ago
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About the role
Description supplied by the original job listing.
We are looking for a Junior Data Engineer with hands-on exposure to data processing and ETL workflows. This role is ideal for candidates looking to grow in the data engineering space while working on scalable data systems.
Responsibilities:
Assist in building and maintaining data pipelines and ETL workflows.
Work with Apache Spark for data processing (training/mentorship provided).
Perform data extraction, transformation, and loading tasks.
Work with MySQL and MongoDB.
Support data quality checks and debugging.
Collaborate with engineering and analytics teams.
Requirements:
Basic experience with Python.
Exposure to Apache Spark (project/work).
Understanding of SQL queries (MySQL/Postgres).
Basic knowledge of data pipelines / ETL concepts.
Good to Have:
Internship/project experience in data engineering.
Exposure to Airflow / workflow tools.
Basic cloud knowledge (AWS/GCP).
Experience
1-3 yrs
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