12 of 12 Amazon Redshift Jobs in the South East

Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise ...

doing: Design, develop, and maintain scalable data architectures and ETL pipelines Build and manage data models and data warehouse solutions (Airflow, dbt, and Redshift) Write clean, efficient Python and SQL code for data processing and transformation Integrate data from internal and third-party APIs and services Optimise data pipelines ...

e.g. SAP, Oracle, NetSuite, Workday) Exposure to BI and reporting tools (e.g. Power BI, Tableau, Looker) Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Familiarity with automation, orchestration, or analytics engineering tools (e.g. dbt, Airflow) Robert Half Ltd acts as an employment business for temporary positions ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

Power BI Supporting self-service analytics and improving data literacy across the business Acting as an SQL subject matter expert (Postgres, Cloud SQL, BigQuery, Redshift) Using orchestration tools such as Airflow to deliver reliable, automated pipelines Contributing to IaC and CI/CD pipelines via GitHub Collaborating across engineering ...

designing and building data platforms and data architectures - Hands on experience with design and build of cloud data warehouses - Snowflake experience is desirable, though Redshift or Synapse are also suitable - Experience with data orchestration tools such as Airflow or Prefect - Strong coding ability in Python, Java, or Scala - Experience ...

across AWS, Azure, and GCP data services. Deep knowledge of data modelling (conceptual, logical, physical) and domain-driven design. Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse or similar platforms. Strong understanding of data governance, security, GDPR, and regulatory frameworks. Certifications – TOGAF/SAFe/Agile Why Join: Fully remote ...

AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise … transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache ...

current-state and target-state SAS architecture, aligned to AWS cloud principles. Define integration patterns between SAS and AWS services (e.g. S3, Redshift, Glue, IAM, KMS). Migration & Workload Repointing Assess existing SAS workloads (ETL, models, analytics, reporting) and determine optimal migration and placement strategies. Drive the repointing ...