Associate Data Engineer

4 months ago

Responsibilities

Assist with developing and maintaining ETL/ELT pipelines for ingesting, transforming, and loading data.
Write clean, efficient, and documented SQL and Python code.
Support data integration across data lakes, warehouses, and analytical platforms.
Monitor pipeline performance, investigate issues, and escalate data quality or operational concerns.
Perform data validation and error handling to ensure accurate, consistent, and reliable outputs.
Maintain documentation for pipelines, workflows, and transformation processes.
Participate in code reviews and collaborate with team members on quality improvement.
Work with data analysts and data scientists to deliver data engineering solutions.

Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related field.
Fluency in English.
Proficiency in SQL and working knowledge of at least one scripting language, preferably Python.
Familiarity with ETL/ELT concepts and data integration patterns.
Exposure to AWS, GCP, or Azure and common storage services.
Basic knowledge of data modeling and data warehousing principles.
Understanding of version control practices using Git.
Basic understanding of relational database systems such as PostgreSQL or MySQL.
One to two years of experience in data engineering, software engineering, or a related technical role, including internships or academic projects.
Strong attention to detail, commitment to data quality, and willingness to learn and receive feedback.
ITIL certification is advantageous but not mandatory.