76 to 100 of 160 Amazon Redshift Jobs in England

leadership skills: with the ability to initiate and drive projects proactively Strong AWS knowledge, including Kinesis, Athena, S3, etc. Extensive data warehousing experience, Snowflake, Redshift etc. Experience with Airflow or a similar ETL tool, Python experience and data modelling knowledge Enjoy working with other engineers and stakeholders Our Benefits ...

data Have exposure to 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) Have experience with DataOps concepts Why join AND Digital? We’re building a culture where talented people ...

grow customer accounts, specifically focusing on net dollar retention. Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) ETL experience Experience implementing production business intelligence solutions Startup experience Additional Job details Compensation may vary outside of this range depending ...

have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters ...

layer tooling We do not expect you to have worked with all of these. If you have built production pipelines on Snowflake, BigQuery or Redshift and you are curious about where we are going, that transfers. What we offer An international company in growth, and a flat structure Join ...

experience embedding data quality rules, profiling, scoring, and exception management into pipelines. Familiarity with modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, etc.). Ability to lead architectural thinking across multiple domains and manage stakeholder complexity. Ability to produce high-quality architectural artefacts: blueprints, models, solution designs ...

have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters ...

using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow). Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads). ...

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 ...

Server to AWS, including target modelling, cutover approach, reconciliation strategy and technical risk management. Design and build the real‐time data architecture using Amazon MSK/Apache Kafka and PySpark Structured Streaming (evaluating Apache Flink where it is the better fit), including event schema governance, exactly‐once semantics … retained. Knowledge, Skills and Experience Essentials: Deep, hands‐on expertise across core AWS data services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR, with the ability to make and defend architectural decisions. Advanced proficiency in Python and SQL, including PySpark for large‐scale ...

Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry Strong problem‐solving skills ...

looking for: Strong expertise in python, SQL for data integration and engineering, cloud platforms (AWS, Azure, GCP etc.), data warehousing tools and concepts (Redshift, Snowflake etc.) Experience of strategic implementation, ownership and development of technology solutions and platforms Deep understanding of industry-standard best practice around data and modelling ...

present and effectively influence senior stakeholders You 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. ...

looks like. Platform fluent. You're expert-level across BI tools like Tableau, Qlik, Power BI, Looker, Sigma and data platforms like Snowflake, Databricks, Redshift, Google BigQuery and you can evaluate a new one fast. Deep in data and semantic modeling. Expert-level SQL and data/semantic modeling ...

have hand-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters ...

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 ...

experience that makes complex energy systems simple, powerful and intuitive. You'll be building resilient, modular backend services, data models, data flows between Postgres, Redshift, analytics layers and APIs that underpin complex trading, billing and analytics platforms. There's a collaborative team environment where you'll input into technical … experience across the full development lifecycle You have expertise with backend Python, REST APIs and microservices You have a good knowledge of AWS including Amazon RedShift You have experience with PostgreSQL, DBT, data pipelines, ETL, data modelling, LLMs and agentic programming You have a good understanding of event ...

platforms Coding skills for data analysis including SQL and Data Visualization Tools (Tableau, Looker, or Similar) Experience performing analysis with large datasets (Databricks, Snowflake, Amazon Redshift, Google Big Query or Similar) Experience with A/B testing and experiment design Extensive knowledge of statistics and analytical concepts Experience ...

Hands‐on experience with Zoho Analytics, including data preparation, data modeling, Query Tables, pipelines, reports and dashboards. Experience querying data held within AWS, particularly Amazon Redshift, Athena, and S3. Experience implementing or maintaining data quality checks and monitoring. Experience working with large or complex datasets. Experience working ...

data systems from ingestion to data products, focusing on reliable, scalable architectures. You'll work with SQL, Python, and cloud warehouses (BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, Prefect, Dagster) while collaborating with analytics, data science, and product engineering to deliver impact across the organization. #J-18808-Ljbffr ...

office time for key moments. You should be fluent in Go or Python, with experience building robust, scalable services on AWS (S3, Lambda, Redshift, Kinesis). #J-18808-Ljbffr ...

data pipelines – implement efficient, reliable systems for ingesting, processing, and serving financial data. Engineer Cloud-Native Solutions on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments with GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team – we frequently share ideas to innovate, plan strategy and decide ...

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 containerisation and infrastructure technologies such as Kubernetes, Docker, Terraform and Helm. Experience working with complex data models and platforms such as Snowflake, Postgres, Redshift or comparable large-scale data technologies. Comfortable with modern engineering tooling such as GitHub, GitHub Actions, Maven, Cucumber and mocking frameworks. Ability to design ...

with containerisation and infrastructure technologies such as Kubernetes, Docker, Terraform and Helm. Experience working with complex data models and platforms such as Snowflake, Postgres, Redshift or comparable large-scale data technologies. Comfortable with modern engineering tooling such as GitHub, GitHub Actions, Maven, Cucumber and mocking frameworks. Ability to design ...