26 to 50 of 143 Amazon Redshift Jobs in England

pipelines will be built in PySpark • SQL • Knowledge of AWS and components such as S3, Glue, Athena, RDS • Experience with Data Warehouse databases like Redshift/Snowflake/BigQuery • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such as Looker, Qlik, Power BI, Tableau • Modern ...

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 ...

following will be good to have else we will be enable you with the required trainingAWS Glue and Data Catalog, EMR, Athena, S3, Redshift/RDS, Kafka/Spark, AWS Security, IAMOR Azure Data factory, Azure Data bricks, Azure Data Lake, Azure SQL DW & Azure SQL, Azure Storage, HDInsight ...

strong leadership skills to mentor and support data engineers at all levels, influencing how data engineering evolves within GBR. The technologies in use include Redshift, EC2, Glue, Lambda, Kinesis Firehose, Athena, and S3. Proficiency in Python, SQL, and Bash is essential. You’ll encounter a wide range of source ...

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 ...

solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands-on experience of migration to or adoption of a cloud data platform. Strong ...

solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands-on experience of migration to or adoption of a cloud data platform.Strong Databricks ...

aggregation Build and optimize distributed data processing jobs using PySpark on AWS EMR with deployment of these jobs on Data warehouse platforms like Amazon Redshift & ClickHouse Work with Amazon MSK (Kafka) for real‐time data ingestion and streaming. Automate pipeline orchestration with AWS Step Functions. Ensure schemas ...

. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards.Desirable Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience building and optimising pipelines and ETL/ELT workflows. Working knowledge of data warehouse technologies (Snowflake, BigQuery). Code versioning ...

communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation ...

Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Hands-on dataops experience (eg. CI/CD, version control, IaC, etc.) Have experience adopting a Data Product ...

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 ...

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 needs Able to architect custom AI solutions and smart automated systems that ...

beneficial if you have experience/knowledge in:Advanced Looker capabilities, such as extensions, API usage, or embedded analyticsCloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery)Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML)Programming languages such as Python or RWorking on data transformation ...

beneficial if you have experience/knowledge in:Advanced Looker capabilities, such as extensions, API usage, or embedded analyticsCloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery)Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML)Programming languages such as Python or RWorking on data transformation ...

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. ...

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. ...

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 ...

build and manage automated data pipelines.Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift).Additional Programming: Knowledge of C# and experience working within a .NET environment.AI Tooling: Experiencing utilising AI-assisted development tools, such as Github Copilot, or integrating ...

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 ...

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 ...

Stack Backend: TypeScript, Node.js, C#, .NET Infrastructure: AWS (ECS, Lambda, SQS, DynamoDB), Terraform Architecture: Microservices, Event‐driven architecture Data & ML: Python, AWS SageMaker, S3, Redshift Why Join Alto? This role gives you genuine ownership of ML capability at a company that processes more housing transactions than anyone else ...

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. ...