1 to 25 of 151 BigQuery Jobs

more years' related work experience or an equivalent combination of education and experience Experience with cloud data warehouses and platforms (e.g., Snowflake, BigQuery, Redshift) Familiarity with data transformation and semantic modeling tools (e.g., dbt) Experience with programming/scripting languages (e.g., Python) for data manipulation and automation Knowledge ...

more years' related work experience or an equivalent combination of education and experience Experience with cloud data warehouses and platforms (e.g., Snowflake, BigQuery, Redshift) Familiarity with data transformation and semantic modeling tools (e.g., dbt) Experience with programming/scripting languages (e.g., Python) for data manipulation and automation Knowledge ...

more years' related work experience or an equivalent combination of education and experience Experience with cloud data warehouses and platforms (e.g., Snowflake, BigQuery, Redshift) Familiarity with data transformation and semantic modeling tools (e.g., dbt) Experience with programming/scripting languages (e.g., Python) for data manipulation and automation Knowledge ...

more years' related work experience or an equivalent combination of education and experience Experience with cloud data warehouses and platforms (e.g., Snowflake, BigQuery, Redshift) Familiarity with data transformation and semantic modeling tools (e.g., dbt) Experience with programming/scripting languages (e.g., Python) for data manipulation and automation Knowledge ...

data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability ...

technological environments PREFERRED SKILLS · Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. · Git, CI/CD pipelines. · Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. · Exposure to AI/ML workflows and model deployment. · Experience with streaming systems and real-time architecture. · Knowledge of event-driven ...

such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with ...

2. Cloud Data Enablement Architect and implement cloud-native data solutions using AWS (Redshift, Glue, S3, Athena), Azure (Synapse, Data Factory, Databricks), or GCP (BigQuery, Dataflow, Pub/Sub). Guide the migration of on-premise data assets to cloud environments, ensuring performance, security, and compliance. Optimize data processing ...

developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge ...

data engineering tasks.Experience with big data tools (Spark, Hadoop, Kafka, FlinkKnowledge of ETL/ELT tools (Airflow, dbt, Glue, InformaticaFamiliarity with data warehousing (Snowflake, BigQuery, RedshiftUnderstanding of data modeling, normalization, and data governance.Experience with Git, CI/CD, and cloud platforms (AWS/GCP/Azure Preferred Qualifications Experience ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

standards Project & Program Management Data Warehousing Big Data Data Analytics & Data Science for solutioning Relevant technology domains: Strong Google Cloud Platform Data Components – BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc Professional Summary: Strong Experience in Big Data- Data Modelling, Design, Architecting & Solutioning Understands programming language like ...

documentation What we're looking for • Solid grounding in Python for data engineering and automation • Strong SQL and experience with modern cloud warehouses (Snowflake, BigQuery, Redshift, Azure Synapse etc.) • Hands-on experience with workflow orchestration tools • Comfortable working with dbt or similar transformation frameworks • Experience in Azure is preferred ...

experience with dbt or similar transformation frameworks Proficiency in Python for data manipulation and pipeline support Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar) Solid understanding of data warehousing concepts and modern ELT workflows Comfortable owning production data and supporting it end to end Strong communication ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

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 ...

scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ...