Role Overview
Participate in data engineering tasks, including data processing and transformation. Assist in the development and maintenance of data pipelines and infrastructure while collaborating with team members to support data collection and integration.
Responsibilities
- Participate in data engineering tasks, including data processing and transformation.
- Assist in the development and maintenance of data pipelines and infrastructure.
- Collaborate with team members to support data collection and integration.
- Contribute to data quality and security efforts.
- Analyze data using data engineering tools and techniques.
- Collaborate with data engineers and analysts on data-related projects.
- Pursue opportunities to enhance data engineering skills and knowledge.
- Stay updated on data engineering trends and best practices.
Requirements
- Bachelor's degree in a relevant field or equivalent combination of education and experience.
- Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role.
- Proven experience in data engineering.
- Proficiencies in data engineering tools and technologies.
- A continuous learner that stays abreast with industry knowledge and technology.
Nice to Have
- Advanced degree in a relevant field.
- Relevant certifications, such as Certified Data Analyst or SAS Certified Big Data Professional.
Skills
- Python
- SQL
- Apache Spark
- ETL
- AWS