milton keynes, south east england, united kingdom Hybrid / WFH Options
beatmysalary
execution on daily, weekly, or customized schedules. 2. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. 3. Monitor, Troubleshoot … logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. 7. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯
Milton Keynes, England, United Kingdom Hybrid / WFH Options
MRP-Global
reliable execution on daily, weekly, or customized schedules. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯
Milton Keynes, Buckinghamshire, United Kingdom Hybrid / WFH Options
MRP Technology Ltd
reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve … SQL logic, and data workflows to boost efficiency and scalability. Techniques may include indexing, partitioning, caching, or employing materialized views to improve query speed. Lead Migration from hh360 to BigQuery Architect and drive a seamless migration strategy to move data and pipelines from the Legacy hh360 system into Google BigQuery. Employ iterative migration patterns for safe data transfers, rigorous More ❯
