1 to 25 of 42 Amazon Redshift Jobs

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. ...

data team and design/build high-performing semantic models that will underpin Power BI and Microsoft Fabric reporting. Working with data held in Amazon Redshift, you'll create a logical, business-friendly data layer that enables accurate, scalable analytics across a complex organisation. This … create reliable and consistent analytical layers. Work with data engineers to understand underlying data structures and ensure models are built effectively on top of Amazon Redshift. Help shape how the organisation consumes data by creating a trusted, accessible reporting foundation. Skills & Experience Strong SQL development experience, with the ability ...

scalable data solutions within UK Central Government. What You'll Be Doing Design, build, and maintain production-grade data pipelines using AWS services including Amazon EMR, S3 and Lambda. Develop scalable data processing solutions using PySpark, Python and SQL with a focus on performance, resilience, testing and observability. Lead … essential). Proven experience delivering data engineering solutions within UK Central Government. Strong commercial experience with Informatica. Hands-on expertise with AWS services including Amazon EMR, S3 and Lambda. Advanced PySpark, Python and SQL skills for large-scale data processing. Experience building and maintaining enterprise-scale batch data pipelines. ...

Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation, ingestion and pipeline ...

ability to write, read, and optimise complex queries across large datasets Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage and orchestration Experience ...

processes, DevOps, CI/CD and software testing. • Expertise with one of programming languages such as SQL, or Python. • Have working experience of AWS (Redshift, EMR, S3) and Azure (Data Factory, Power BI service) data analytics services. • Experience with Data platform tools like Databricks and/or Snowflake. ...

predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance: Understanding of GDPR, PII, and secure data management principl es.Communication: Strong data storytelling ...

pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development practices ...

with database technologies like PostgreSQL, MongoDB, CosmosDB, and SQL Server is also beneficial. Knowledge of data warehousing technologies such as Databricks SQL, Snowflake Warehouses, Amazon Redshift, and Google BigQuery is important for structuring and managing large volumes of data. Data engineers should be adept at Extract, Transform, Load … processes. This includes using frameworks such as the Medallion Architecture, as well as tools like Apache Airflow, Fivetran, Azure Data Factory, and Amazon Glue to automate data workflows and ensure data quality. Familiarity with cloud computing services, such as AWS, Azure, or Google Cloud Platform, is increasingly important. Data ...

maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem-solving ...

technical innovation across the business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. ...

Experience with scoping and/or delivering large-scale data platform migrations. Preferred: Experience with additional cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

Expectations, dbt tests, Elementary, Soda, or Deequ.Familiarity with AWS data services ( S3, Athena, Glue )Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery )A pragmatic problem solver who can balance technical excellence with business needsAble to architect custom AI solutions and smart automated systems that ...

Platform Leads) and driving high-level database modernization strategy.Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform.Mastery of migration migrations scope & progression taking customers 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/ ...

experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding ...

with AWS data services ( S3, Athena, Glue )Experience with Airflow for scheduling and orchestrating workflowsExperience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery)A pragmatic problem solver who can balance technical excellence with business needsAble to architect custom AI solutions and smart automated systems that ...

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 ...

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. ...

enterprise data architecture.Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake, Databricks, BigQuery, Redshift, or MicrosoftFabric. Relevant certifications are a plus, although not arequirement.Strong understanding of analytics workflows, dataintegration, data governance, automation, and howmodern analytics solutions fit into governed ...

work, streamline processes, and enable faster, more informed decision-making in your roleWhat You Will BringHands-on experience with data warehousing solutions such as Amazon Redshift, BigQuery and Snowflake to implement and manage ETL pipelines (dbt) to streamline data workflows and ensure data integrity, accuracy and comprehensiveness.Expertise ...

production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

skills Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state ...

enterprise accounts—comfortable in both exec-level conversations and deep technical design sessions.Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native services ...