The Data Engineer will work closely with senior team members to design, implement, and maintain data pipelines and APIs. You will be part of the Data Technology team, collaborating with internal and external stakeholders to support data infrastructure and analytics needs. Responsibilities
Design, build, and maintain data pipelines for extraction, transformation, and loading (ETL) from diverse data sources.
Develop and maintain data workflows and pipelines, ensuring efficiency, scalability, and reliability.
Collaborate with analytics, data science, and engineering teams to deliver robust data solutions.
Support stakeholders with data-related technical issues and infrastructure needs.
Prototype and evaluate new technologies to enhance data capabilities and business insights.
Qualifications
3–5 years of experience in a data engineering or similar role (for intern roles, relevant academic projects may apply).
Bachelor’s degree or equivalent in Computer Science, Engineering, Information Systems, or related field.
Programming experience with Python or similar languages;knowledge of distributed computing is a plus.
Experience with workflow orchestration tools, cloud platforms, and relational databases.
Strong communication skills, problem-solving abilities, and willingness to learn new technologies.
