- Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.
- Define and implement the long term technology strategy and innovations roadmaps across data engineering areas
- Provide hands-on technical and execution leadership for the data engineering team
- Work with product, engineering, operations, finance, accounting, and other cross functional teams to maintain the integrity of our data warehouse and data infrastructure
- Collaborate closely with upstream engineering groups to elevate data generation approaches
- Collaborate with data recipients across Tekmetric to grasp usage trends and formulate user-friendly data models.
- Ideate and contribute to shared data engineering tooling and standards.
- Define and promote data engineering best practices across the company.
What You’ll Bring
- 5+ years experience in software engineering with a focus in data
- Expert in SQL and one or more programming languages (ideally Python, Java or Scala)
- Experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow)
- Experience working with data modeling, data architecture design, and ETL pipelines
- Experience working with batching and streaming data infrastructure
- Familiarity with data visualization tools (Looker, Tableau, etc)
- You enjoy working in fast moving and dynamic environments
- Degree in Computer Science or Engineering
