Designing, building and maintaining our data pipelines and data warehouses for user-facing features, analytics, and aiding business intelligence.
Developing ETL ecosystem tools using tools like Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3.
Helping to define automated solutions to solve complex problems around better understanding our data, users, and our market
Assisting the overall engineering team with database design and data flows
Developing engineering best practices, documentation and process flows that facilitate collaboration and knowledge transfer

Requirements

2-5 years of experience working as a Data Engineer or Backend Engineer
Expert-level understanding of SQL-based database design and usage
Expert-level proficiency in at least one programming language
Professional experience in high-volume ETL systems.
Effective communication with engineering peers, project managers and business stakeholders.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesdata warehousesETLSQLPythonAirbyteSnowflakedbtPostgreSQLMySQL

Soft Skills

effective communicationcollaborationproblem-solving