Junior Data Engineer
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Key skills for this role
About the Role
Support design and maintenance of data pipelines using Python, Apache Airflow, and Spark, ensuring data quality and collaborating on cloud solutions.
Key Skills for This Role
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Overview
As a Junior Data Engineer, you will support the design, development, and maintenance of scalable data pipelines and systems.
You ll work closely with senior engineers and data scientists to ensure reliable data flow across our platforms, contributing to Hudhud Maps mission of delivering high-quality geospatial insights.
Key Responsibilities
- Develop, monitor, and optimize ETL workflows using
Apache Airflow
- .
- Build and maintain data pipelines leveraging
Python
and
Apache Spark
- .
- Manage and query structured data in
- PostgreSQL databases
- .
- Support the integration and organization of large datasets in
Data Lakes
- .
- Collaborate on cloud-based data solutions (AWS, GCP, or Azure).
- Ensure data quality, reliability, and security across systems.
- Document processes and contribute to continuous improvement initiatives.
Requirements
- Bachelor s degree in computer science, Engineering, or related field.
- 1 2 years of experience
- in data engineering or related roles.
- Proficiency in
Python
- for data workflows.
- Hands-on experience with
Airflow
,
Spark
, and
Postgres Db
- .
- Familiarity with
- Data Lake architectures
- and
- cloud platforms
- .
- Strong problem-solving skills and eagerness to learn.
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