9 Cloud Bigquery Jobs

Sr. Data Engineer, Data Engineering Head quartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500. Department Overview: AAA (Automation, Analytics & AI) builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The t...

Data Engineer, Data Engineering Head quartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500. Department Overview: AAA (Automation, Analytics & AI) builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team ...

Job description Data Engineer Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500. Job Overview: Designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics and Migrating from legacy Analytics platforms to Google Cloud. Usage of servi...

As an Engineer with 5-8 years of experience, you will be responsible for the following: - Engineer having competencies in Apache Beam, GCP Cloud, and Open Shift - Experience in Java and Kafka Streaming; knowledge of GCP and Kubernetes is a plus - Developing and deploying data and analytics-led solutions on GCP - Designing highly available and scalable systems - Hands-on experience with Data Engineering solutions using Cloud BigQuery, Cloud DataFlow, Cloud BigTable, Storage, Cloud Spanner, Cloud IAM - Understanding of Apache Kafka - Proficiency in cloud-based ETL/Data Orchestration tools like Apache Beam and Cloud Composer - Experience with Stack driver logging/monitoring - Proficient in Pyth...

Data Engineer Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500. Job Overview: Designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics and Migrating from legacy Analytics platforms to Google Cloud. Usage of services in combinati...

You will be responsible for the following tasks: - Experience in GCP. - Data migration experience from legacy systems including SQL, Oracle. - Experience with Data lake, data warehouse ETL pipelines build and design on GCP. - GCP data and analytics services like Cloud Dataflow, Cloud Dataprep, Apache Beam/Cloud composer, Cloud BigQuery, Cloud Fusion, Cloud PubSub, Cloud storage & Cloud Functions. - Using Cloud Native GCP CLI/gsutil along with scripting using Python & SQL. - Experience with Data Governance, Metadata Management, Data Masking & Encryption using GCP tools like Cloud Data Catalog, GCP KMS tools. Qualifications required for this role: - Experience in GCP. - Proficiency in data mig...

As an Engineer with 5-8 years of experience, your role will involve working with competencies like Apache Beam, GCP Cloud, and Open Shift. You should have hands-on experience in Java and Kafka Streaming, with knowledge in GCP and Kubernetes being a plus. Your responsibilities will include developing and deploying data and analytics-led solutions on GCP, as well as designing highly available and scalable systems. You will be working on Data Engineering solutions using Cloud BigQuery, Cloud DataFlow, Cloud BigTable, Storage, Cloud Spanner, and Cloud IAM. It's essential to have a good understanding of Apache Kafka and proficiency in cloud-based ETL/Data Orchestration tools like Apache Beam and ...

You will be responsible for the following tasks: - Experience in GCP. - Data migration experience from legacy systems including SQL, Oracle. - Experience with Data lake, data warehouse ETL pipelines build and design on GCP. - GCP data and analytics services like Cloud Dataflow, Cloud Dataprep, Apache Beam/Cloud composer, Cloud BigQuery, Cloud Fusion, Cloud PubSub, Cloud storage & Cloud Functions. - Using Cloud Native GCP CLI/gsutil along with scripting using Python & SQL. - Experience with Data Governance, Metadata Management, Data Masking & Encryption using GCP tools like Cloud Data Catalog, GCP KMS tools. No additional details about the company are mentioned in the job description.,

As a GCP Data Engineer in Australia, you will be responsible for leveraging your experience in Google Cloud Platform (GCP) to handle various aspects of data engineering. Your role will involve working on data migration projects from legacy systems such as SQL and Oracle. You will also be designing and building ETL pipelines for data lake and data warehouse solutions on GCP. In this position, your expertise in GCP data and analytics services will be crucial. You will work with tools like Cloud Dataflow, Cloud Dataprep, Apache Beam/Cloud composer, Cloud BigQuery, Cloud Fusion, Cloud PubSub, Cloud storage, and Cloud Functions. Additionally, you will utilize Cloud Native GCP CLI/gsutil for opera...