1 to 25 of 75 Amazon Redshift Jobs in the UK

that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data. Ability to design AI/ ...

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT or Anthropic Claude, preferably ...

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT or Anthropic Claude, preferably ...

expertise: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Power BI Microsoft Purview AWS Glue AWS Lake Formation Amazon Redshift Amazon Athena Amazon EMR Amazon S3 SQL, Python, and PySpark CI/CD pipelines and DevOps practices Infrastructure ...

Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience … Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

will work on a variety of projects, including, but not limited to: Building generative AI applications using AWS' suite of AI services, primarily Amazon Bedrock - including foundation model selection, Bedrock Agents and Bedrock Knowledge Bases. Designing and implementing Retrieval-Augmented Generation (RAG) systems Conducting AI assessments of customer businesses … cost. Implementing responsible AI practices, including guardrails, evaluation pipelines, monitoring and human-in-the-loop review. Developing and deploying machine learning models with Amazon SageMaker, and building the MLOps pipelines to support them. Writing Terraform or CloudFormation to template the AWS infrastructure that AI applications run on. Conducting ...

will work on a variety of projects, including, but not limited to: Building generative AI applications using AWS' suite of AI services, primarily Amazon Bedrock - including foundation model selection, Bedrock Agents and Bedrock Knowledge Bases. Designing and implementing Retrieval-Augmented Generation (RAG) systems Conducting AI assessments of customer businesses … cost. Implementing responsible AI practices, including guardrails, evaluation pipelines, monitoring and human-in-the-loop review. Developing and deploying machine learning models with Amazon SageMaker, and building the MLOps pipelines to support them. Writing Terraform or CloudFormation to template the AWS infrastructure that AI applications run on. Conducting ...

tools. Experience working with cloud platforms such as Microsoft Azure, AWS or Google Cloud. Experience with modern data warehousing technologies such as Synapse, Snowflake, Redshift or similar. Experience using Git and CI/CD deployment practices. Understanding of data governance, data quality and data protection principles. Strong analytical ...

Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions ...

data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience with every ...

Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience ...

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 ...

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 ...

/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. Understanding of key data architecture ...

/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. Understanding of key data architecture ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions ...

Apply best practices for data quality, governance, and performance optimisation Core Technical Skills Strong hands-on experience with: AWS data stack (Glue, S3, Lambda, Redshift, Athena) Advanced SQL Python for data processing and pipeline development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience ...

using SQL, Python, and PySpark for batch and near real-time processing. Work with AWS services such as DMS, Glue, Lambda, Step Functions, S3, Redshift, Athena, RDS, EC2, and CloudWatch. Design and implement data models (Star Schema, Snowflake Schema) to support downstream BI and analytics dashboards. Perform data validation ...

using SQL, Python, and PySpark for batch and near real-time processing. Work with AWS services such as DMS, Glue, Lambda, Step Functions, S3, Redshift, Athena, RDS, EC2, and CloudWatch. Design and implement data models (Star Schema, Snowflake Schema) to support downstream BI and analytics dashboards. Perform data validation ...

support the wider development of the Data Engineering function. Who you are: Strong hands on experience with AWS services including Glue, Lambda, S3, Redshift, and EMR. Proficiency in Python and SQL. Proven experience designing and building data pipelines and ETL solutions. Strong understanding of data warehousing principles and modern ...

support the wider development of the Data Engineering function. Who you are: Strong hands on experience with AWS services including Glue, Lambda, S3, Redshift, and EMR. Proficiency in Python and SQL. Proven experience designing and building data pipelines and ETL solutions. Strong understanding of data warehousing principles and modern ...

Qualifications (A Plus)Experience with a distributed computing framework like Apache Spark (using PySp ark).Familiarity with cloud data servi ces (AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud St or age).Exposure to workflow orchestration to ols (Apache Airflow, Prefect ...

Qualifications (A Plus)Experience with a distributed computing framework like Apache Spark (using PySp ark).Familiarity with cloud data servi ces (AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud St or age).Exposure to workflow orchestration to ols (Apache Airflow, Prefect ...

communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...

communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...