26 to 43 of 43 Amazon Redshift Jobs in Berkshire

with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic More ❯

BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

Pub/Sub, DataFlow, Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre More ❯

getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science More ❯

promoting a culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture … design a consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery More ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

and will be expected to navigate and manage data systems with a high degree of rigour and compliance. Familiarity with additional tools such as Redshift, RDS, and QuickSight will be advantageous during ongoing migrations from legacy environments. Strong CI/CD expertise, especially using GitHub Actions, and hands-on … mindset, and a strong interest in mentoring others and enabling their growth. Additional strengths that would be beneficial but not essential include experience with Redshift, strong SQL capabilities, working knowledge of DynamoDB Streams, and an awareness of data privacy and regulatory standards within financial services. This is a great More ❯

enhance upstream data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in … for modeling Experience with SQL Experience in the data/BI space Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested please apply More ❯

passion for cloud-native solutions. What You'll Be Doing: Leading the design and delivery of end-to-end AWS-based data solutions (S3, Redshift, Glue, Lambda, Step Functions, Matillion, DynamoDB, etc.). Acting as a senior technical SME in RFI and RFP response activity for complex data-led … and contributing to reusable assets and accelerators. What We're Looking For: Extensive hands-on AWS data engineering expertise including experience with S3, Glue, Redshift, Lambda, and Matillion. Demonstrated leadership within a consultancy or delivery-focused organisation at SM/Manager level or above. Proven track record of leading More ❯

Understanding of IAM policies and statements. Experience of writing and using terraform or AWS CDK at scale. Postgres SQL, Oracle MySQL/Aurora RDS, Redshift and other database/NoSQL Tech. Good knowledge of Redshift and AWS Services. Working experience in data vault model. Scripting skills e.g., Python More ❯

frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs … cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales More ❯

frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs … cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales 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 ❯

a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable More ❯