9 of 9 Amazon Redshift Jobs in the North of England

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile ...

working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

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

experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with ...

design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small ...

workflows Confidence debugging and improving end to end LLM systems in live environments Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable Comfortable in client facing environments, with the ability to work closely ...

processes using AWS services such as Glue, Lambda, and S3 Supporting the migration of an existing data warehouse into AWS (S3 and Redshift) Implementing and improving data quality checks, validation, and monitoring Contributing to modern data lakehouse and warehousing architecture Working closely with analysts and data scientists to enable … datasets Supporting best practices, documentation, and continuous improvement across the data platform What You Bring Strong experience with AWS data services (Glue, Lambda, S3, Redshift, EMR) Solid programming skills in Python, SQL, and PySpark Experience designing and optimising data pipelines and ETL/ELT processes Good understanding of data ...

pipelines on AWS Building and maintaining ML ready datasets to support model training, inference, and experimentation Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data Integrating new and underused data sources to unlock additional value Supporting feature store development and data pipelines … Experience Strong commercial experience building production grade data pipelines using Python and SQL Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance ...