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Make a difference Ciber Global wants you. Come build new things with us and advance your career. At Ciber Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies. Google Cloud Data Engineers will be responsible for designing the transformation and modernization on Google Cloud Platform cloud. Experience with large scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform is a must.
- Responsible to create, deliver, and support custom data products, as well as enhance/expand team capabilities. They will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and analytics.
- Experience with broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of Google Cloud Platform and 3rd party technologies for deploying on Google Cloud Platform cloud.
- Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
- Implement methods for automation of all parts of the pipeline to minimize labor in development and production. This includes designing and deploying a pipeline with automated data lineage.
- Identify, develop, evaluate and summarize Proof of Concepts to prove out solutions.
- Test and compare competing solutions and report out a point of view on the best solution.
- Integration between GCP Data Catalog and Informatica EDC.
- Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (Google Cloud Platform) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Compose, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
- In-depth understanding of Google's product technology and underlying architectures.
- 5+ years of application development experience required, +3 years of GCP experience.
- Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow etc.
- 2 + years coding skills in Java/Python.
- Work with data team to analyze data, build models and Integrate massive datasets from multiple data sources for data modelling Implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
- Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management.
- Extracting, Loading, Transforming, cleaning, and validating data + Designing pipelines and architectures for data processing.
- Minimum 1 year of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java/ Python etc.
- Hands-on GCP experience with a minimum of 1 solution designed and implemented at production scale.
- Architecting and implementing next generation data and analytics platforms on GCP cloud Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services, and application in GCP Experience with Informatica EDC (Enterprise Data Catalog) is preferred.
- Experience with development eco-system such as Git, Jenkins and CI/CD.
- Exceptional problem solving and communication skills.
- Experience in working with Agile and Lean methodologies.
- Team player and attention to detail.
- Bachelor s degree in Computer Engineering, Information Systems, or related field of study
- Google Cloud Data Engineer Certification
Vacancy expired!