Position: Data Engineer
Company: ScrumLaunch
Experience required: 2y
English level: upper

Must to have: 1-3 years of experience in a data engineering role
● Strong SQL skills querying and transforming large datasets in
cloud-based data warehouses (we use Snowflake & dbt)
● Experience creating production-grade ELT pipelines with
python-based data orchestration tools at scale (we use Airflow)
● Software development lifecycle experience such as environment
management, testing, deployment (we use Github)

Nice to have: Experience with real-time event stream data
● Spark data processing
● Contextual work in the energy industry

Shared ownership and accountability for Platform data services through deep knowledge and proactive maintenance of those services
● Communication, and the ability to translate between the domains of business problems and technical solutions with ease
● Team-oriented development: building modular & re-usable tools, writing maintainable code, team mentorship, owning technical and business documentation
● Leads the development and maintenance of scalable Platform infrastructure and CI/CD processes

Challenge the status quo
● This person should have begun forming strong opinions of
data and infrastructure best practices. Those opinions should surface in their work and at times challenge Inspire’s data practices to raise them to new standards. In the process, their opinions should stimulate growth and learning throughout the team.
● Resourceful
● Is a powerful steward of the team’s limited resources, able to
find creative solutions that focus on starting with an MVP and iterating on that foundation to extend the value of our Platform.