Data Engineer
Core
Design, develop, and maintain scalable ETL pipelines and automated machine learning solutions to process raw data into usable formats for analysis and reporting.
Role type
Data Engineer
Builds
Scalable ETL pipelines, automated ML solutions, and optimized data storage/retrieval systems
Domain
Cloud data engineering and analytics
Deliverable
production ML models
Required skills
ETL pipeline development, data modeling, database administration, cloud platform deployment, database tuning, automated ML implementation, agile methodology
Preferred skills
Experience with Google Cloud Platform services (Dataproc, Dataflow, BigQuery)
Technologies
PostgreSQL, MySQL, MongoDB, Google Cloud SQL, Google Cloud Platform, Google Cloud Storage, Google Cloud Dataproc, Google Cloud Dataflow, Google BigQuery
Responsibilities
Design and maintain scalable ETL pipelines; implement data modeling techniques; develop automated ML solutions; manage and administer relational and non-relational databases; perform database tuning and optimization; deploy data processing workflows on GCP; coordinate release of data engineering solutions into production
Seniority
Mid-level, hands-on IC