Data Engineer, Early Career - 2027 (CAN)
Core
Design, implement, and automate distributed systems for collecting and processing log events; build data pipelines and manage data warehouses to support business decisions.
Role type
Early-career Data Engineer
Builds
Automated data pipelines, data warehouses, and reporting dashboards
Domain
Cloud services and data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data pipeline development, ETL processes, database design, data transformation, scripting languages (Python, KornShell), log event processing
Preferred skills
AWS, big data processing (Hadoop, Apache Spark), data schema design, data lake solutions
Technologies
SQL, Python, KornShell, Hadoop, Apache Spark, AWS
Responsibilities
Design and automate deployment of distributed systems for log events; operate internal data warehouses and database systems; develop automated data pipelines; monitor and troubleshoot data pipelines; tune database performance; drive architectural plans for data storage and analytics
Seniority
Entry-level, hands-on IC
