51 to 59 of 59 BigQuery Jobs with Hybrid or WFH Options

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

and transformation with your expertise in cloud-based data services like BigQuery and Dataflow. What will you be doing? Data Engineering in Google BigQuery: Design, build, test, and deploy data models and transformations for efficient data analysis. Utilise BigQuery's capabilities including SQL, stored procedures, indexing, clustering … skills needed: Python Programming: Proficient in building, testing, and deploying production-ready code. SQL Fluency: Experienced in working with relational and cloud databases (e.g., BigQuery, GCP) Data Pipelines: Possess expertise in building and maintaining Extract, Transform, Load (ETL) processes and dataflows. Continuous Learner: Demonstrate a strong desire to learn more »

and CRO Analysts Speaking with internal stakeholders to explain challenges, solutions, and areas of growth Utilising skills in Google Analytics/Adobe Analytics and BigQuery YOUR SKILLS AND EXPERIENCE Experienced with Adobe Target and Optimzely Client-facing experience – being able to manage and develop clients A background in analytics more »

developing or maintaining web-based applications (html, css, Javascript frameworks such as Angular, React) Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker Containerisation (Docker or similar) and orchestration (k8s) Experience of processing biological archive data Tests and CI/CD Apply now! Benefits and more »

performance. l Proficient in data modeling and data warehousing. l Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. l Strong problem-solving skills and a meticulous approach to code reviews. l Proven more »

selected candidate will also be focusing on building, designing and taking ownership of high quality data products. Key requirements: Advanced SQL Google Cloud Platform BigQuery (or Snowflake) Terraform Full understanding of CI/CD pipelines Python Expereince in leading data teams (Tech lead) Offer and Benefits: Discount scheme for more »

Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data more »

and have had hands-on experience in their application. You've had some experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. Proven experience of working with customer data. You've a strong commitment to accuracy and rigour in the analysis produced. You are empathetic more »

segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You've a track record of taking data science products from conception through to deployment in production. You've had experience more »