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Intermediate Data Engineer
Skills
Data EngineeringAirflowCode ReviewDatabasesExtractTransformLoad
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years in Data Engineering
- Adept in SQL
- Experience in Python
- Strong written and verbal communication skills
- Proficient with git/GitHub and familiar with code review processes
- Collaborate across development activities: design, testing, monitoring, and maintenance
- Periodic on-call support for team and data environment
- B.S. in Computer Science, Math, or technical field preferred
- Equivalently experienced candidates considered
- Advanced degree is a plus
Nice to have
- Experience in ETL/ELT with Snowflake, Spark
- Strong problem-solving skills for performance and scalability
- Understanding of ad-tech terms and methodologies
- Docker and Kubernetes
- Apache Airflow
Day to day
- You will work alongside engineers, solving complex data-oriented problems creatively.
- Deliver new product features and enhancements through ETL, Airflow, and API development.
- Participate in full lifecycle of Advertising Tech products, from requirements gathering to maintenance.
