26 to 50 of 79 Remote/Hybrid Amazon Redshift Jobs

contracts — and reason about warehouse cost and performance, not just correctness.Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery).Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. ...

Vector Search and Unity Catalog, or Azure OpenAI, Azure AI Foundry and Azure AI Search. AWS: Glue, Lambda, Step Functions, Kinesis, EMR, Athena, Redshift, S3 data lakes; and, for the AI edge, Amazon Bedrock, Knowledge Bases for Bedrock About Capgemini Hybrid working: The places that you work from ...

data solutions on cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as:Azure Data Factory/Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems are secure, scalable, and cost-efficientData Pipeline & Workflow ManagementDevelop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)Monitor … frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with:Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/ ...

engineering standards and contribute to continuous improvement Support incident management and ongoing maintenance of BI solutions Skills & Experience Experience with AWS data services (e.g. Redshift, Athena, S3, Glue, Lambda) Strong SQL skills Exposure to SnapLogic or similar integration platforms Proficiency in Python (including PySpark) Familiarity with modern data tooling ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing ...

implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency in: DevOps practices CI/CD pipeline management Infrastructure as Code (IaC) Nice-to-Have Hands-on experience ...

optimisation Experience with ETL/ELT design and implementation Experience working with AWS data services Experience working with a cloud data warehouse (e.g. Snowflake, Redshift, or similar) Experience designing and implementing APIs Strong problem-solving skills and ability to work with evolving requirements Good communication skills and experience working ...

Data Governance and Data 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 DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

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 DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

everything: PyTorch, TensorFlow or JAX Hugging Face LLM APIs and open-source models RAG and vector databases Apache Airflow AWS S3 ECS/EKS Redshift Docker Kubernetes GitHub Actions Pulumi or Terraform SQL Model monitoring and observability Distributed processing Financial markets, economics or commodities Financial-market experience ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What You Can Expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

with working knowledge of JavaScript or Python preferred Solid understanding of data modeling, cloud data platforms, and BI/analytics tools such as Snowflake, Redshift, BigQuery, Synapse, Tableau, Looker, or similar Strong ability to understand customer needs, solve technical and business challenges, and clearly communicate value to technical, business ...

experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.). #mle #machinelearning #datascientist #python #sql #timeseries #ai #cicd #cloud #contractjobs Reasonable Adjustments: Respect and equality are core values to us. ...

data modelling. Proven experience designing and building analytical datasets and reporting structures. Experience working with cloud-basedMPP data warehouse technologies such as: Snowflake BigQuery Redshift Demonstrable experience delivering scalable data solutions within modern analytics environments. Desirable Skills Previous experience within the Advertising Technology or Digital Advertising sector. 2+ years ...

MySQL, DynamoDB and Bigtable Hands on experience building ETL and ELT pipelines and optimising data transformations Practical knowledge of AWS including Kinesis, S3 and Redshift, and GCP including Pub/Sub and BigQuery Experience with streaming technologies such as Kafka and Confluent, and real time processing engines including Spark ...

expertise: Advanced SQL is non‐negotiable – you write complex queries fluently and understand performance, indexing, and warehouse‐specific behaviour (e.g. BigQuery, Snowflake, or Redshift). Data modelling: Strong grasp of data modelling concepts and hands‐on experience building models in dbt or a comparable transformation framework. Data quality mindset ...

incomplete or evolving datasets and turning them into reliable assets for downstream users Experience with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake, Redshift or similar would be beneficial Experience with version control systems (preferably GitLab) and working with tools such as JIRA & Confluence Experience working in Agile ...

prompt and context engineering, evaluations and AI SDLC — to deliver novel capabilities for the trading organisation.Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation … data pipelines for complex and time series data.Proven experience with Apache Airflow for data orchestration and scheduling at scale.Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must.Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control ...

prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation. Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation … complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control ...

prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation. Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation … complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control ...

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 ...

Bring4+ years of professional experience building and shipping production-quality software.Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).Solid grounding in at least one of Java or Python, and willingness to be effective in both.A genuine DevOps mindset: comfortable owning ...

experience in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine ...