26 to 50 of 204 Amazon Redshift Jobs in England

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 ...

Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience ...

using Python and SQL Migrate data from legacy SQL environments into a cloud-native architecture Essential Skills SQL and Python Hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Athena Data warehouse and data lake design experience ETL/ELT development and optimisation Data ...

Step functions - Athena SQL ; Spark SQL ; Python - AWS CLI - Release management (CI/CD) - Knowledge and Experience - desirable - AWS Databrew - AWS RDS/Redshift - AWS Macie - AWS CloudWatch - AWS Quick - AWS Sagemaker (Unified Studio and AI) - Power BI #J-18808-Ljbffr ...

Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery Experience with Python/PySpark Experience with implementing Rest APIs. Experience with using and integrating BI tools such as QuickSight, Looker, Power ...

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 ...

Google Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience ...

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 ...

including data pipelines, ETL/ELT processes, and data integration frameworks. Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Ensure solutions follow AWS best practices for security, performance … professional development. Whatyou'llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Proficiencyin programming languages such asPythonandSQL fordata ...

dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing ...

Engineer Must have: Experience in building complex data pipelines/ETL/ELT scriptsExtensive experience with SQLExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with PythonPreferably have some knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs. ...

experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern ...

experience with SQLExcellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern ...

Lead Data role. Strong hands‐on experience designing and delivering cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise ...

dimensional/data modelling Experience designing and operating production data pipelines Experience with a modern cloud data warehouse such as Snowflake, BigQuery or Redshift Experience with automated testing, version control and CI/CD Strong understanding of data quality, reliability and observability Experience diagnosing performance and production issues Ability ...

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 ...

their integration across trading ecosystems. Exposure to multi-cloud environments, particularly GCP or Azure. experience with data platforms and analytics services such as Redshift and Athena. Knowledge of event-driven architectures and messaging technologies such as SNS, SQS, and Kafka. experience with serverless architectures and design patterns on AWS. ...

Software Dev Engineer, Amazon Security Automation Job ID: 10498444 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products … NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security ...

GenAI/LLM techniques to data and analytics. Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino. Expertise writing, optimizing, and analyzing SQL.Hands-on experience building and operating distributed data platforms on AWS or GCP.Hands ...

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 ...

experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks. Effective communication in English. Preferred Qualifications ...

technical stakeholdersExperience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent)Experience operationalising machine learning models into production environmentsExperience with MLOps, model deployment, model monitoring, model lifecycle management ...