Junior Data Engineer

0-2 years of professional experience working with data, or relevant internship/co-op experience Basic proficiency in Python and SQL Familiarity with at least one AWS service (S3, Glue, Lambda, or Redshift) Understanding of relational databases and data modelling concepts Exposure to version control systems (Git) Basic understanding of data pipeline concepts (ETL/ELT) Ability to write basic scripts (Python or Bash)

Assist in the development and maintenance of batch data pipelines using AWS Glue, Lambda, and Python Write and optimize SQL queries for data transformation in Amazon Redshift Support data quality checks and monitor data pipeline health Collaborate with Data Analysts and Data Scientists to understand data requirements Document data pipelines, workflows, and technical processes Learn and implement best practices for code quality and data engineering standards Participate in code reviews and team knowledge-sharing sessions Troubleshoot data issues and assist with incident resolution under guidance