Data Engineer (Google Cloud) @ DCG
Core
Designing and implementing Data Lake and Data Warehouse solutions, building ETL/ELT pipelines, and creating data models for both on-premises and Google Cloud Platform environments.
Role type
Data Engineer (Google Cloud)
Builds
Data Lake and Data Warehouse solutions, ETL/ELT pipelines, and data marts.
Domain
Big Data, Cloud Infrastructure, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Rust, SQL, Google BigQuery, Kubernetes, Apache Airflow, relational database design (Oracle, PostgreSQL), event-driven architecture (Kafka, Pub/Sub), Big Data concepts.
Preferred skills
Data Mesh concepts, vector and graph databases, Apache Spark (GCP Data Proc), Apache Beam (GCP DataFlow), AutomateNow, Informatica Power Center.
Technologies
Google Cloud Platform, BigQuery, Kafka, Pub/Sub, Kubernetes, OpenShift, Oracle, PostgreSQL, Apache Airflow, Apache Spark, Apache Beam, AutomateNow, Informatica PowerCenter, GCP DataFlow, GCP Data Proc.
Responsibilities
Designing and implementing Data Lake and Data Warehouse solutions, tuning SQL queries on relational and data warehouse databases, creating offline and online data flows, loading structured and unstructured data, preparing thematic data marts, troubleshooting incidents, supporting testing and deployments.
Seniority
Mid-level to Senior, hands-on IC
