1 to 25 of 125 Amazon Redshift Jobs in the UK

COUNTRIES OVER 1,400 ACTIVE GLOBAL CLIENTS Job Description: Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications: Master more »

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications Masters more »

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications Masters more »

on several key HR practices including Diversity and Inclusion. Role Sr. Data Architect Key Responsibilities Help customers learn and use AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion ToolDeliver on-site technical engagements with customers. This includes understanding customer requirements, contributing to internal Area … of Depth (AoD) programs, and creating packaged data service offerings Assess and optimize the customer s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift Engage with the customer s business and technology stakeholders … making recommendations to optimize performance Preferred Qualifications Masters or PhD in Computer Science, Physics, Engineering or Math Ability to evaluate and plan migrations to Amazon Redshift One of the AWS Associate level certifications or AWS Certified Cloud Practitioner Extensive hands-on experience in leading large-scale full-cycle more »

on several key HR practices including Diversity and Inclusion. Role Sr. Data Architect Key Responsibilities Help customers learn and use AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion ToolDeliver on-site technical engagements with customers. This includes understanding customer requirements, contributing to internal Area … of Depth (AoD) programs, and creating packaged data service offerings Assess and optimize the customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift Engage with the customer’s business and technology stakeholders … making recommendations to optimize performance Preferred Qualifications Masters or PhD in Computer Science, Physics, Engineering or Math Ability to evaluate and plan migrations to Amazon Redshift One of the AWS Associate level certifications or AWS Certified Cloud Practitioner Extensive hands-on experience in leading large-scale full-cycle more »

a Data Architect or similar role, with a focus on AWS cloud environments. Strong knowledge of AWS services relevant to data architecture, such as Amazon Redshift, Amazon Athena, Amazon S3, AWS Glue, and AWS Lambda. Experience designing and implementing data lakes, data warehouses, and analytics solutions more »

processes using AWS services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including Amazon S3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality and integrity through validation and cleansing techniques. Collaboration : Work … focus on AWS and cloud technologies. Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database more »

Proficiency in software engineering concepts and best practices. Experience with DevOps is a plus. Experience with cloud data warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred. Experience with cloud ETL/ELT tools (e.g., Fivetran, dbt, Matillion, Informatica, Talend) preferred. Experience with Azure cloud platform and container more »

Data Lake Engineer Key Responsibilities Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift Deliver on-site technical engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service more »

ASAP Permanent Role: Yes Responsibilities: Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift Deliver on-site technical engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service more »

optimizing data pipelines Building and maintaining data architectures Leading projects and teams Ensuring data quality and integrity Preferred skills: Proficiency in AWS Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and more »

Extracting data from various sources (databases, APIs, files) Transforming and cleaning the data Loading the data into data warehouses or data lakes (e.g., BigQuery, Amazon Redshift) Automating the data pipeline execution using scheduling tools (e.g., Airflow) Work with Big Data technologies: You'll likely work with various Big more »

data integration. You should also have a good understanding of data modelling, ETL processes, and data governance. Technical Skills: Proficiency in AWS Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and more »

essential. Core skills for this Data Engineer role: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS Glue, Amazon DynamoDB for NoSQL database management, Amazon Redshift for data warehousing, and AWS Lambda Designing & developing ETL Pipelines Familiarity with big data technologies more »

experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public more »

ETL and DataOps principles is essential. Core skills: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS Glue, Amazon DynamoDB for NoSQL database management, Amazon Redshift for data warehousing, and AWS Lambda Designing & developing ETL Pipelines Familiarity with big data technologies more »

and insights to stakeholders; experience with BI tools such as Looker is highly advantageous Experience working with cloud data warehouses, ideally with AWS/Redshift, Azure, GCP, or Snowflake Experience with dbt is highly advantageous Responsibilities Analyze, organize, and prepare raw data for modeling and data analytics Architect and more »

build relationships based on trust and value. The Lead Data Architect will design and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use other tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow … aligned to the functional and non-functional requirements Work closely with other members of agile deployment team Selection & configuration of appropriate, base technologies (eg Amazon Redshift, RDS) Selection & application of appropriate standards & principles Capture & implementation of functional & non-functional requirements Expert in data modelling and latest data trends more »

and insights to stakeholders; experience with BI tools such as Looker is highly advantageous Experience working with cloud data warehouses, ideally with AWS/Redshift, Azure, GCP, or Snowflake Experience with dbt is highly advantageous Responsibilities Analyze, organize, and prepare raw data for modeling and data analytics Architect and more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

and reporting. • Specialised in AWS cloud technologies for ETL, data warehouse, and data lake design. • Hands-on experience with AWS services like EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. • Capable of processing large volumes of structured and unstructured data on AWS. • Familiarity with AWS best practices in data engineering, data more »

such as EC2, ECS, EMR, AWS Lambda, DynamoDB, S3, Kinesis, SQS, SES, Cloudwatch.... Knowledge or experience with big data technologies such as Spark, Hadoop, Redshift, Snowflake, Kafka, Flink, Druid, Clickhouse... is highly desirable. Benefits Flexible work arrangements to support a healthy work-life balance 25 vacation days (excluding bank more »

or Software Engineering experience Have excellent experience in one or more of the following platforms: Databricks, Snowflake, Azure Synapse, Azure Fabric, AWS Glue, AWS Redshift Experience in designing and creating scalable, maintainable, high-performing data architectures for complex data workflows Proficiency in SQL and experience with relational databases such more »

connect AWS SQS AWS RDS AWS EC2 AWS VPC Peering AWS Lamda AWS Private Link AWS Route 53 AWS ECR Python (Lambda) NodeJS (Lambda) Redshift Palo Alto Firewall Network Worloads managemnet Workspace Ldap/Open Ldap VMWARE WAF VM Azure Devops This has a remote rotational shift of 8am more »