5+ years of experience as a Data Engineer.
Build and operate data infrastructure: storage (cloud data warehouse, S3 data lake), orchestration (Airflow), processing (Spark, Flink), streaming services (AWS Kinesis & Kafka), BI tools, graph database, and real-time large-scale event aggregation store.
Build our ingestion pipeline for scale, speed, and reliability from a variety of upstream systems (MongoDB, Postgres, DynamoDB, MySQL, APIs).
Design, organize, and build interactive Data Dashboards for easier data visualization.
Responsible for the delivery of advanced analytics, reporting, and BI applications; creating integrated views that can be used to drive decision-making.
Work closely with product and development teams to develop analyses that lead to actionable product insights.
To apply for this position, please send us your resume to email@example.com