101 to 125 of 165 Remote Amazon Redshift Jobs

Python and Apache Airflow Develop data models and transformations using dbt Optimize complex SQL queries and performance tune databases Work with MPP databases like Redshift, Greenplum, or Vertica Operate in a Linux-based environment and contribute to architecture decisions Collaborate with product and engineering teams to define technical requirements More ❯

experience designing secure data architectures in cloud environments (preferably AWS or Azure). Hands-on experience with database technologies such as MySQL, Oracle, and Amazon Redshift. Expertise in designing solutions that prioritise automation and reusability. Proficiency in creating high-level and low-level technical designs, specifications, and interface control More ❯

experience designing secure data architectures in cloud environments (preferably AWS or Azure). Hands-on experience with database technologies such as MySQL, Oracle, and Amazon Redshift. Expertise in designing solutions that prioritise automation and reusability. Proficiency in creating high-level and low-level technical designs, specifications, and interface control 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 ❯

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 ❯

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 ❯

or digital performance optimisation Familiarity with BI tools (e.g. Looker, Tableau) for storytelling and dashboard creation Understanding of cloud-based data platforms (e.g. AWS, Redshift, Athena) or similar A proactive, ownership-driven attitude with a passion for data quality assurance Background in adtech, telecoms, retail, or digital services is More ❯

maintaining traceability between them and solution components. Experience of standard engineering and service management methodologies. Experience of database technology such as MySQL, Oracle or Amazon Redshift. Experience of one of the following: Power BI, Pentaho Business Analytics, ElasticSearch, Solr, Apache Kafka. Mentoring and coaching. Desired Skills: Experience of Python More ❯

/or others for prompt and model optimisations. Comfortable working with databases (relational & vector), and large-scale data sets and pipelines (e.g. AWS Glue, Redshift, RDS, Pinecone, Opensearch). Hands-on experience with AI Cloud Infrastructure for MLOps (e.g.Google Vertex AI/AWS Bedrock), including deploying AI applications and More ❯

as required by the business Oversee the investigation/development of new methods for data analysis such as AI Essential criteria: Power BI, Azure, Redshift, Databases, Power Platform, Dev Ops, SQL Design and development of Power BI artefacts and environments Numerical analysis methods Stakeholder management and consensus building Working More ❯

IL6) DoD Compliant Framework, Landing Zone, or similar deployments AWS Cloudformation, Stacks, CI/CD Pipelines, VPC/Networking, State Machines, EC2, S3, Athena, Redshift, CloudTrail, Config, CloudWatch, AWS GuardDuty, IAM/SSO/RBAC Understanding of OSI model and common networking practices (routing, subnetting, VLAN, BGP) Comfort with More ❯

and networking optimisations for data-intensive applications Data warehouse expertise : Extensive experience with columnar and/or real-time analytics databases like ClickHouse and Redshift, including performance tuning, query optimisation, and scaling strategies Modern data engineering experience : Hands-on expertise with modern data processing frameworks, ETL/ELT patterns More ❯

Data Engineer, you'll design and maintain ETL pipelines integrating data from sources like Facebook, Google Analytics, and payment providers. Using tools like AWS Redshift, S3, and Kafka, you'll optimize data models for batch and real-time processing. Collaborating with stakeholders, you'll deliver actionable insights on player … 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 behaviour 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 ❯

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 ❯

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 ❯

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 ❯

maintain curated data layers to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning … as a Data Engineer, with a strong focus on data warehousing and data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling More ❯

Strong experience with designing solutions for publci cloud environments (Azure or AWS or GCP) Experience with database technology such as SQL, MySQL, Oracle or Amazon Redshift Any experience of Data & reporting solutions such as Power BI, Kafka, Pentaho, Elasticsearch or Solr would be an advantage You will be More ❯

Strong experience with designing solutions for publci cloud environments (Azure or AWS or GCP) Experience with database technology such as SQL, MySQL, Oracle or Amazon Redshift Any experience of Data & reporting solutions such as Power BI, Kafka, Pentaho, Elasticsearch or Solr would be an advantage You will be More ❯

bricks · One or more of the following key technology skills: o Systems integration, APIs – REST, SOAP etc o SQL Server Integration Services (SSIS) o Amazon RedShift o Azure Synapse o SQL Server o Oracle Database o Oracle Data Integrator o Oracle Integration Cloud o Business Objects Data Services 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯