About the role
Enable data-driven decisions for operations and customers by managing data pipelines and analytics infrastructure.
- •Finix’s reporting cluster is the source of truth for operational metrics, customer-facing reports, billing, actionable insights, and a host of business-critical KPIs.
- •As a Data Engineer, you will own the tooling, frameworks, data pipelines, integrations, databases, schemas and the data integrity of this cluster.
- •Key Responsibilities Enable our operations team to make data-driven decisions based on timely, consistent, complete, and correct data, reports, and analytics Work closely with engineering team members to build reporting and analytics infrastructure, solving our and our customer’s analytics needs Delight our customers by providing leading reporting and analytics capabilities supporting their operations and accounting teams Requirements 6+ years of experience in a Data Engineering, ETL, Data Science or related role Expert knowledge of SQL, data modeling, Python and frameworks such as Spark, Storm, Airflow, Glue etc.
- •Java would also be great B.S in computer science, mathematics, statistics, physics, or a related data field Experience with BI tools such as Looker, Sisense, Superset, Tableau
Tech stack
SQLPythonSparkAirflowLookerJava
Match insights
Tech:SQL, Python, Spark, Airflow, Looker
Level:Senior