Cloud Data Engineering Position
Our organization is seeking an experienced Cloud Data Engineer to design and implement scalable data architectures on Google Cloud Platform (GCP).
* Proficiency in BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub
* Experience with SQL, Oracle Database, and PostgreSQL
* Knowledge of orchestration using Cloud Composer (Airflow)
* Hands-on experience with CI/CD applied to data pipelines (Git, Terraform)
* Experience with cloud cost and performance optimization
* GCP certifications
* Knowledge of Kubernetes (GKE) and APIs on GCP
* Experience with Machine Learning pipelines (Vertex AI, AI Platform)
* Previous involvement with Data Mesh and distributed architectures
* Understanding of Data Lake layers
* Knowledge of batch and streaming processing
* Experience with data modeling (relational, dimensional, and NoSQL)
The ideal candidate will be responsible for developing and optimizing high-performance ETL/ELT pipelines, ensuring data quality and integrity, creating and maintaining data models aligned with business needs, collaborating with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases, automating ingestion, transformation, and data delivery processes, monitoring and optimizing the cost and performance of GCP resources, and implementing best practices for DataOps and Data Governance.