Tekmetric is a cloud-based platform designed to assist auto repair shops in optimizing their operations. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and pipelines, collaborating with various teams to ensure data accuracy and accessibility for business decision-making.
Responsibilities:
- Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
- Collaborate and influence the long term technology strategy and innovations roadmaps across data engineering areas
- Provide technical leadership, mentorship and growth to junior team members as we scale
- Collaborate closely with engineering and product to elevate data generation approaches
- Manage the end-to-end life cycle on the development of new features and pipelines
- Ideate and contribute to shared data engineering tooling and standards
- Define and promote data engineering best practices across the company
Requirements:
- 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