1 to 25 of 26 Remote/Hybrid Permanent Amazon Redshift Jobs

management of large-scale enterprise data warehouse solutions. Build and maintain data integration and transformation processes using IBM DataStage. Work with AWS technologies including Amazon Redshift, Amazon S3, AWS Glue and Amazon QuickSight. Develop and optimise SQL-based data transformations and work with relational databases. Support … need strong commercial data engineering experience, particularly across enterprise-scale ingestion, transformation, warehousing and database environments. Essential skills and experience IBM DataStage Amazon Redshift Amazon S3 AWS Glue Amazon QuickSight AWS data/cloud environments ETL and data migration Batch and real-time data processing Enterprise ...

equivalent Experience building data pipelines in production Hands-on experience with a cloud platform (AWS, Azure or GCP) Experience with data warehousing (Snowflake, Redshift, BigQuery or Synapse) Understanding of data modelling and CI/CD Desirable Spark, Databricks or Kafka Orchestration tools such as Airflow or dbt Infrastructure ...

programming language. Experience with modern data engineering tools, such as dbt, Airflow or Spark. Experience with cloud data warehouses, such as Snowflake, BigQuery or Amazon Redshift. A solid understanding of data modelling, ETL/ELT and data quality. Knowledge of data governance, security and privacy. Confidence taking ownership ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

GenAI/LLM techniques to data and analytics. Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino. Expertise writing, optimizing, and analyzing SQL.Hands-on experience building and operating distributed data platforms on AWS or GCP.Hands ...

designing and maintaining ETL/ELT pipelines Exposure to data warehousing, data lakes and modern data architecture Experience with cloud data platforms (AWS preferred - Redshift, Athena, S3, Glue. Azure accepted) Understanding of workflow orchestration and automation tools Python experience (including PySpark) is beneficial but not essential Exposure ...

data modelsExperience designing and maintaining ETL/ELT pipelinesExposure to data warehousing, data lakes and modern data architectureExperience with cloud data platforms (AWS preferred – Redshift, Athena, S3, Glue. Azure accepted)Understanding of workflow orchestration and automation toolsPython experience (including PySpark) is beneficial but not essentialExposure to BI platforms such ...

controls, connectors, and governed sharing configurations. Advanced SQL development and performance-tuning skills using BigQuery and at least one additional enterprise platform such as Amazon Redshift or Oracle. Working knowledge of Google Cloud Platform services used for secure analytics solutions, including BigQuery, Identity and Access Management, Cloud Storage ...

data integrationSkilled in data manipulation, processing and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestProficiency with GitHub, GitHub Actions and Azure DevOpsStrong communication and collaboration skills to align technical and business stakeholdersProven ability to lead solution delivery ...

different platforms, and you’ll be expected to work across them. Any of the major clouds, with native services such as S3, Glue, Redshift and Kinesis on AWS, Data Factory, Synapse and Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running ...

different platforms, and you’ll be expected to work across them. Any of the major clouds, with native services such as S3, Glue, Redshift and Kinesis on AWS, Data Factory, Synapse and Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

capability to present and effectively influence senior stakeholdersYou have strong SQL skills and hands-on experience with dbt, cloud data warehouses (Snowflake, BigQuery, or Redshift), and modern BI tools (Omni, Looker) to build scalable data models and self-serve dashboards.Experience with attribution modelling and/or testing methodology (e.g. ...

business intelligence across Honda's enterprise. Key Accountabilities Data Pipeline Development: Design and implement ETL pipelines using AWS services (Glue, EMR, DMS, S3, Redshift). Orchestrate workflows with AWS Step Functions, EventBridge, and Lambda. Integrate CI/CD pipelines with GitHub and AWS CDK for automated deployments. Data Modeling … Minimum work experience At least 3 years of demonstrable work experience in the industry, in data engineering or related roles. Proven track record in Amazon Web Services (AWS) based data solutions and orchestration Integration with ERP systems (SAP, Homegrown ERP Systems) API-based Data Exchange between Manufacturing, Supply Chain ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small ...

Azure DevOpsExperience with data platforms and tools such as Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestExperience in commodity trading and supply operations, ideally within the energy sectorStrong communication skills with both technical and business audiences and ability ...

with SQL and strong understanding of query execution, indexing strategies, partitioning, and performance tuning.Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other columnar databases.Understanding of modern data infrastructure: data lakes, ETL pipelines, CDC and data orchestration frameworks.Demonstrated ability to work with engineering ...

team capabilitiesNice to Have: Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity).LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba).Startup, founder, or cross-functional multi-product experience. Our Benefits: Paid Vacation DaysHealth insuranceCommuter benefitEmployee Stock ...

Job ID: 10986Location: London, England, GBType: AnySalary: USD excellent per yearPosted: 2025-12-04Data & AI Senior ConsultantsLocation – We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client ...

problems, and can take responsibility for quality, investigations and remediation. Experience with cloud data services. We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue. Nice to have: Has made use of AI during the development cycle, including ...

Data Engineer | Python, SQL & AWS | Up to £80k | Fully Remote Fancy being part of a new data team, with the opportunity to help build and shape the platform from day one? I'm working with ...

DATA PRODUCT MANAGER UP TO £100,000 FULLY REMOTE Please note, this company is unable to sponsor, and you must be a UK resident to apply THE COMPANY Join a pioneering AI-driven technology business ...