51 to 75 of 112 BigQuery Jobs in the Midlands

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

Strong ability to use dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with modern data warehouses (e.g., BigQuery). Version Control: Proficiency using GitHub for version control. Automation Tools: Familiarity with Retool, Zapier, Omni, or similar technologies. YAML: Experience in using YAML ...

problem solver who thrives in a fast-moving environment. Ideally, you have: Cloud Expertise: Proven ability to design and implement cloud analytics solutions (Google BigQuery preferred) in a commercial setting. Python Mastery: Strong track record of building production-grade applications using Python. Data Science Skills: Hands-on experience with ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...