Hey Support is looking for a skilled Data Engineer to join our team and take ownership of our data infrastructure. You will play a critical role in designing, building, and maintaining scalable data pipelines that empower our analytics and business intelligence initiatives.
Key responsibilities
- Design, develop, and maintain robust ETL/ELT processes to support data-driven decision-making.
- Integrate data from diverse sources into a unified architecture to ensure seamless data flow.
- Optimize database performance and infrastructure to handle increasing data volumes efficiently.
- Monitor and maintain data quality, reliability, and security across all internal systems.
Requirements
- Proven experience in data engineering with proficiency in Python and advanced SQL.
- Hands-on experience with big data frameworks such as Apache Spark and workflow orchestration tools like Airflow.
- Strong working knowledge of cloud platforms including AWS, GCP, or Azure.
- Experience managing and optimizing databases such as PostgreSQL, MySQL, or Snowflake.
- Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.
What we offer
- The opportunity to work in a fully remote environment with a global team.
- Impactful work on scalable data infrastructure that directly influences business strategy.
- A collaborative culture that values technical excellence and continuous learning.