An innovative company is seeking a seasoned data engineer with extensive experience in cloud data engineering and building enterprise-scale data platforms. This remote role requires proficiency in GCP and a strong background in modern data processing technologies like Apache Spark and BigQuery. You will be responsible for architecting self-service data platforms and implementing microservices architectures using Kubernetes and Docker. Join a dynamic team that values collaboration and creativity, working Eastern US business hours to make a significant impact in the data landscape. If you're passionate about data and technology, this is the perfect opportunity for you.
Qualifications
13-15 Jahre Erfahrung in Cloud-Datenengineering und Softwareentwicklung.
Erfahrung im Aufbau von selbstbedienten Datenplattformen in einer Microservices-Architektur.
Responsibilities
Entwicklung und Implementierung von End-to-End-Datenplattformen in GCP.
Architektur und Aufbau von Unternehmensdatenplattformen in einer grünen Umgebung.
Skills
Data Fabric
Big Data Processing
Apache Spark
Cloud Data Engineering
Software Engineering
End-to-End Data Platforms
GCP
SQL
Python
Microservices Architecture
Tools
BigQuery
Cloud Functions
Cloud Run
Dataform
Dataflow
Dataproc
Airflow
PubSub
Kubernetes
Docker
Job description
Mandatory Skills - Data Fabric - Big Data Processing - Apache Spark
13 to 15 years of proven experience in modern cloud data engineering, broader data landscape experience, and solid software engineering experience.
Prior experience architecting and building successful self-service enterprise scale data platforms in a green field environment with microservices based architecture.
Proficiency in building end-to-end data platforms and data services in GCP is a must.
Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub.
Experience with Microservices architectures - Kubernetes, Docker. Our microservices are built using TypeScript, NestJS, NodeJS stack. Prefer candidates with this experience.
Experience building Symantec layers.
Remote position; engineers will work Eastern US business hours.