We are seeking a highly motivated and detail-oriented Junior Data Engineer to join our Data Engineering team. This entry-level role is ideal for individuals with 0–2 years of experience in data engineering or related fields. You will support the development and maintenance of data pipelines, assist in data integration tasks, and help ensure data quality and availability for analytics and business operations.
0–2 years of relevant experience in data engineering, software development, or data analysis
Internship or academic project experience with data pipelines or databases is a plus
Assist in developing, testing, and maintaining batch and streaming data pipelines
Write basic SQL queries and data scripts to support data extraction, transformation, and loading (ETL/ELT)
Clean, validate, and transform data from various internal and external sources
Support routine data integration workflows and pipeline monitoring
Collaborate with analysts, data scientists, and engineers to understand data needs
Document data structures, processes, and transformation logic
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
Basic proficiency in SQL and relational database systems (e.g., PostgreSQL, MySQL, SQL Server)
Familiarity with Python or similar scripting languages
Exposure to cloud platforms (AWS, GCP, or Azure) and data storage services (S3, BigQuery, etc.)
Foundational understanding of data modeling, ETL concepts, and data warehousing
Experience with version control tools like Git
Awareness of data pipeline orchestration tools (e.g., Apache Airflow, Prefect) is a plus