Data Engineer
Job Summary
Building ETL jobs using Azure Data Factory, the full-time Data Engineer will develop and monitor data pipelines for internal projects and external customers while working remotely from anywhere in the U.S.
Key responsibilities
- Design and implement ETL processes to manipulate and transfer large volumes of data, ensuring quality checks are performed
- Monitor and troubleshoot active ETL jobs in production, collaborating with team members to resolve issues
- Assist in the development of data lineage artifacts and documentation for QA and UAT purposes
Required qualifications
- Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Data Analytics, Information Systems, or a related field
- One year of experience in ETL processes, Python, and SQL
- Experience with Azure Data Factory, Apache Kafka, and Snowflake
- Familiarity with data quality assurance practices
- Ability to work 40 hours per week
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