1 to 3 of 3 Contract BigQuery Jobs with Hybrid or WFH Options

Engineers. Experience & Skills required: 7+ years Data Engineering 1+ years in a Lead/Principal Engineer role 3+ years GCP experience Data Ingestion & Transformation BigQuery experience advantageous but not essential. Extensive experience with SQL and Data Lake/Warehouse solutions Strong proficiency in languages such as SQL, Python, Java more »

solution independently. Required Skills and Experience: Extensive experience in: Data Warehousing Data Engineering, overall Data Analytics Data Visualisation Proficiency in: Google Cloud (GCP) GCP BigQuery Python DBT or similar FastAPI or similar Airflow or similar Desirable: Google Apigee (as an application developer) Exposure to Machine Learning projects Exposure to more »

Role: The crux of the job is to design, build, test and deploy data APIs for downstream consumers to access the data on Google BigQuery Warehouse. The Data Engineer will also optimise data and API granularity, flexibility and autonomy with the use of materialised views, query parameters, schema design … etc. to manage trade-offs between data volumes, scope, timing and performance. Design, build, test and deploy Google Cloud data models and transformations in BigQuery, Datafusion environment (eg SQL, stored procedures, indexes, clusters, partitions, triggers, etc.) Optimize data views for specific visualization use cases making use of schema design … to scope, quality, and time expectation Job requirements: Expert in database design - both relational and dimensional data models (and preferably Data Vault) in Google BigQuery or similar Cloud technology 1+ years of proven recent experience developing, refactoring, optimization of SQL/T-SQL Expertise in Administration and Development of more »