1 to 25 of 74 BigQuery Jobs in the Midlands

Python, SQL, and Apache Airflow Assist in collecting, transforming, and loading (ETL) data from multiple sources Support data warehousing solutions using platforms like BigQuery, Snowflake, Redshift, or Azure Synapse Work with cloud storage systems on AWS, Azure, or GCP Help maintain data quality, integrity, and documentation best practices Participate ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced ...

workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced ...