Build high-performing clinical data processing frameworks leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store. Minimum 2+ years of experience in Google Cloud Platform/Shared Services such as Cloud Dataflow, Cloud Storage, Pub/sub, Cloud Composer, Big Query, and Health care API (FHIR store.

Bachelor's degree or minimum of 2 years of experience as a Cost Analyst or Cost Engineer managing Projects or Turnarounds. Actalent is seeking a Cost Engineer! This position will be supporting Refinery Capital Improvement, Turnaround, and Pipeline projects.

5+ years' experience in data engineering including relevant experience working with Hadoop or Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, data modeling, business partnerships, and teamwork.

As an experienced Senior Google Cloud Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.

Should have strong development experience in front end technologies like Angular, React, JSP, HTML, CSS, JavaScript and jQuery. Hasura, Grafana, Camunda/JBPM, Kafka, Azure, Google Cloud, Anthos.

Understanding of link tracking, pixels/tags, Google Analytics, and marketing attributionExpertise in designing and implementing data pipelines using modern data engineering approaches and tools: Spark, PySpark, Java, Docker, cloud-native DWH (Snowflake, Redshift), Kafka/Confluence, etc.

Proficiency with the following or similar technologies: AWS cloud native services, Infrastructure as Code (Terraform), Python, PostgreSQL, GitLab, Git, Bitbucket, Bamboo, Maven, Nexus, Fortify, Sonar, etc.

Experience building, maintaining, and enhancing data pipelines using Spark and Apache Airflow. Hands-on experience working with Cloud Data Services, preferably Google cloud and experience with data migration to cloud native environment.

Learn to design and implement data integration and transformation solutions using cloud-native tools such as Apache Beam, Google Cloud Data Fusion, dbt, serverless functions, and cloud-based database and data storage solutions.

Continuous integration/continuous delivery tools and pipelines, such as: (Jenkins, Terraform, SonarQube, Maven, Gradle, Kubernetes, Helm, Apigee X) + Experience with developing and deploying to cloud platforms, such as Google Cloud Platform, Pivotal Cloud Foundry, Amazon Web Services, and Microsoft Azure.

Kubernetes, CI/CD, DevOps, DevOps/SRE, Terraform, Jenkins, Tekton, Observability, Ansible. Cloud Computing: DevOps professionals who work with Ansible should have experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP.

The role requires skills in the following areas: Oracle APEX, PL/SQL, Python, Kubernetes, SAML, and Cloud infrastructure automation with Terraform. Enterprise Engineering (EE) group in Oracle Cloud Infrastructure (OCI) organization is seeking a motivated Principal System Engineer that thrives in a fast-paced rapidly evolving technology environment.

Certification in one or more major cloud platforms (e.g. AWS Certified Solutions Architect, Azure Certified Solutions Expert, Google Cloud Certified Professional Cloud Architect.

Cassandra, Kafka, Microservices, Spring Boot, Spark Streaming, Kubernetes, Docker Containers, and Splunk Logging & Observability. Design and implement infrastructure on major cloud service providers (Azure, GCP, AWS.

3 years of experience with containerization (Docker, Kubernetes, ECS.) 3 years of experience with IaC tools (Terraform, Cloudformation/CDK, Ansible.) 3 years of experience with cloud-based infrastructure (GCP, AWS, Microsoft Azure.