9 of 9 Part-Time Amazon Redshift Jobs in the UK

Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) \n Strong SQL skills ...

optimising, and assuring the quality of complex transformations \n Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse \n Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration ...

Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) \n Hands-on dataops experience (eg. CI/CD, version control, IaC, etc.) \n Have experience adopting ...

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

validation experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n \n Desirable Skills ...

validation experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience ...

validation experience: designing metrics and KPIs to verify and automate management of data quality. \n Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n\n Desirable Skills \n \n Working experience ...

experience with one or more programming languages such as Python, Java. ● Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. \n ● Experience with cloud-based data platforms, particularly AWS or GCP. ● Experience with data warehousing, data modelling, and ETL development. ● Strong analytical & communication skills … platforms such as Kafka of Kinesis. ● Experience working with batch processing frameworks, such as DBT, Argo Workflows, Apache Airflow, etc. ● Familiarity with Docker, Kubernetes, Amazon EKS ● Familiarity with Continuous Integration with GitHub Actions ● Familiarity with Test-Driven Development and XP Our commitment to equity, diversity and inclusion : At giffgaff ...

Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. \n\n \n \n Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. \n\n \n \n Ensure data quality, observability, lineage, and documentation across data and ML pipelines. … skills with experience working on large datasets. \n\n \n \n Experience with AWS, including S3 and Lambda. \n\n \n \n Familiarity with Redshift, Snowflake, or other cloud data warehouses. \n\n \n \n Experience with behavioral datasets. \n\n \n \n Ability to work across machine learning ...