8 of 8 Amazon Redshift Jobs in the Thames Valley

from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data … a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data More ❯

ingestion, transformation, and delivery. Use Python to automate data workflows, support ETL processes, and enhance analytics capabilities. Work with relational databases such as MySQL, Redshift, and PostgreSQL to manage and model structured data. Leverage AWS cloud services including S3, Redshift, Athena, and Lambda to support data storage, querying … strong grasp of data modelling concepts. Proficiency in Python , particularly for data transformation, automation, and analytics. Hands-on exposure to AWS data services (S3, Redshift, Athena, Lambda) is a strong advantage. Understanding of BI/reporting tools and how to support business intelligence needs. Familiarity with version control systems More ❯

technical expertise is not a prerequisite, a solid foundation in data technologies is required. SQL & Data Modelling: Strong experience with relational databases (e.g., MySQL, Redshift, PostgreSQL) Python for Data Processing: Experience in Python for automation, ETL, and analytics AWS & Cloud Data Technologies: Familiarity with AWS services such as S3 … Redshift, Athena, and Lambda is highly beneficial BI & Reporting Tools: Understanding of BI/MI platforms (e.g., Looker, Power BI, Tableau) Version Control & Engineering Best Practices: Experience with Git and collaborative coding workflows is beneficial Web & Behavioural Analytics: Familiarity with tracking tools like Google Analytics, Matomo, or server-side More ❯

Server, Oracle, MySQL, PostgreSQL, and NoSQL databases. Drive migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and Babelfish for Aurora. Implement Amazon RDS, Aurora, DynamoDB, and ElastiCache to replace legacy databases. Optimise database performance through sharding, partitioning, and caching strategies. Cloud-Native & Serverless Adoption Architect solutions … technical stakeholders. Experience leading technical teams and mentoring engineers. Ability to define modernisation roadmaps and business cases. Desirable Skills (Nice-to-Have) Experience with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines More ❯

scalable, and highly available IoT architectures in line with the AWS Well-Architected Framework . Create secure, reliable data pipelines integrating Lambda, DynamoDB, S3, Redshift , and CloudWatch for real-time analytics. Implement secure device communication using AWS IoT security policies and encryption. Optimize deployments for performance, scalability, and cost … AWS IoT Core , Greengrass , SiteWise , and Kinesis . Strong understanding of MQTT , JSON messaging, and device provisioning. Familiarity with AWS analytics and storage services: Redshift, DynamoDB, S3, CloudWatch . Proficiency in Python or Node.js . Deep knowledge of cloud security best practices : IAM, encryption, network security. Proven experience resolving More ❯

or equivalent. Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary. Preferred Qualifications Experience with AWS technologies like Redshift and extracting value from large datasets Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience More ❯

expert ready to lead and innovate? Do you have strong expertise in databases, SQL, MySQL, and Postgres? Are you experienced with AWS tools like Redshift and S3, alongside Google Analytics? Why This Role is Great This is a highly technical role, ideal for someone who thrives in database management … the migration of legacy data systems to AWS, ensuring efficiency and scalability. Optimise databases, particularly SQL, MySQL, Postgres, and Redshift. Utilise AWS services (S3, Redshift) and Google Analytics to enhance data strategy. Ensure robust data governance and performance monitoring across platforms. Engage in collaborative whiteboarding sessions, working closely with … execution. What will make you stand out? Strong expertise in SQL, MySQL, Postgres, with a deep understanding of databases. Experience working with AWS tools (Redshift, S3) and Google Analytics. Ability to migrate legacy data systems to AWS while optimising performance. Strong problem-solving skills and a proactive, hands-on More ❯

expert ready to lead and innovate? Do you have strong expertise in databases, SQL, MySQL, and Postgres? Are you experienced with AWS tools like Redshift and S3, alongside Google Analytics? Do you want to take the lead in modernising a company’s data infrastructure? Why This Role is Great … the migration of legacy data systems to AWS, ensuring efficiency and scalability. Optimise databases, particularly SQL, MySQL, Postgres, and Redshift. Utilise AWS services (S3, Redshift) and Google Analytics to enhance data strategy. Ensure robust data governance and performance monitoring across platforms. Engage in collaborative whiteboarding sessions, working closely with … execution. What will make you stand out? Strong expertise in SQL, MySQL, Postgres, with a deep understanding of databases. Experience working with AWS tools (Redshift, S3) and Google Analytics. Ability to migrate legacy data systems to AWS while optimising performance. Strong problem-solving skills and a proactive, hands-on More ❯