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.
1 2 years of experience in data engineering or related roles.
- Bachelor s degree in computer science, Engineering, or related field.
- 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.
