1 to 25 of 69 Remote/Hybrid Amazon Redshift Jobs

that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ ...

Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong experience … Scala & Pyspark.* Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.* Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

Supporting the delivery of accurate and actionable business insights Skills & Experience We're looking for experience with some or all of the following: DataStage Amazon Redshift Amazon QuickSight AWS Amazon S3 SQL Java Relational Databases GitHub or GitLab You don't need to tick every box. ...

shape how critical financial information flows through the organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes … solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands-on experience with AWS data services Amazon Redshift or comparable cloud data-warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data-modelling and production pipeline knowledge The confidence ...

with a focus on performance optimisation and maintainability. Designing and building solutions on a cloud data warehouse or lakehouse platform (e.g., Databricks, Snowflake, BigQuery, Redshift). Strong understanding of data modelling principles for analytics, reporting, machine learning and AI use cases. Experience applying modern engineering practices, including CI/ ...

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 ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data warehousing principles Strong communication and problem-solving skills Comfortable working both independently ...

reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable experience ...

scalable data platforms. Expert Python and SQL skills, with experience working with large datasets and distributed systems. Hands-on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch. Experience working with relational and NoSQL databases, alongside strong data modelling skills. A solid understanding of data governance, data ...

experience following software engineering best practices like version control and continuous integration You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions Experience with dbt for data transformation layer Experience with IaC tooling such ...

hands‐on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling. Excellent problem‐solving skills and the ability to work independently ...

user-facing solutions within Foundry. Strong understanding of distributed systems and microservices architecture. Experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, Textract, and AI/ML services. Experience working with modern data technologies, including Snowflake . Knowledge of DevOps practices, CI/CD pipelines, Docker ...

following would be highly beneficial: Public sector, government, healthcare or other regulated industry experience. Modern data warehouse and lakehouse platforms such as Amazon Redshift, Snowflake, Databricks, Google BigQuery or Azure Synapse. Strong SQL expertise and proficiency in Python or Java. Infrastructure as Code technologies including Terraform and CloudFormation. … platform engineering. CI/CD tooling and modern engineering practices. Cloud architecture certifications with a data, analytics or AI specialism. Certifications within Snowflake, Databricks, Redshift or similar platforms. Experience using AI-assisted engineering tools such as GitHub Copilot, Claude Code or equivalent. This position is ideally suited to someone ...

coaching, and setting technical direction for data engineers, analysts, and other technical resources Strong background in data modeling (conceptual, logical, physical), warehousing (e.g., Snowflake, Redshift, BigQuery), and database design Familiarity with modern data transformation practices (e.g., dbt) and dimensional modeling patterns, including Slowly Changing Dimensions (SCD) Proficient in data ...

working with BI tools such as Qlik Sense/Qlik View, Tableau, Power BI, or equivalent is required. Experience working with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena is a plus. Understanding and experience with predictive analytics, statistical modelling, or machine learning ...

designing and implementing data solutions. Proficiency in programming languages such as Python, Java, or Scala. Strong experience with data warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data governance ...

analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). ENABLE hybrid cloud transformation – design and implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud-native solutions to unlock agility and performance. OPTIMISE AND SECURE cloud environments – evaluate cloud environments ...

Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS ...

strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability to articulate data strategy and complex technical solutions simply to both technical ...

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/ ...

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 ...

pipelines. Experience building reliable ingestion or integration workflows, event-driven services or messaging-based systems. Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift or Databricks, or with BI and semantic-layer concepts. Experience working with multi-tenant systems, row-level access controls, PII or GDPR-sensitive data. ...

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 ...

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 ...