1 to 25 of 141 Amazon Redshift Jobs in the UK

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 »

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 »

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 »

cloud hosting provider (AWS (preferred), Google Cloud, Azure or similar). Experience using modern build tools such as Maven, Jenkins, GitHub, etc. Experience with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and 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 »

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 »

Apache Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies such as Redshift, BigQuery, or Snowflake. > Knowledge of database systems such as MySQL, PostgreSQL, or MongoDB. > Excellent problem-solving skills and attention to detail. > Strong communication and more »

solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team more »

solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team more »

and improve existing data designs and data models, including relational table structures, using Unix Shell Scripting, Oracle, SQL Server, Azure SQL Data Warehouse, or Amazon Redshift Support and learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical more »

data scientists and architects on several projects EXPERIENCE: Proven track record of success in Data Engineering teams Experience with relational and MPP databases (Snowflake, Redshift, Big Query etc). Experience with data modelling techniques (Kimball/Star, Datavault, etc). Experience with SQL and query design on large, complex more »

data scientists and architects on several projects EXPERIENCE: Proven track record of success in Data Engineering teams Experience with relational and MPP databases (Snowflake, Redshift, Big Query etc). Experience with data modelling techniques (Kimball/Star, Datavault, etc). Experience with SQL and query design on large, complex more »

knowledge of relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent scripting skills (e.g., Python, SQL). Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to more »

knowledge of relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent scripting skills (e.g., Python, SQL). Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

the delivery of data insight projects. Main duties include: Managing and developing the BI Developers Maintaining and managing the BI platform - Looker, Dbt, AWS, Redshift etc Ultimately own the long term BI roadmap. Create a self-serve data culture across the business Skills & Experience If this sounds like an more »

Business Intelligence Engineer London – Hybrid £400 a day Inside IR35 Key Skills: • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages … highest standards of analytical rigor and data integrity. • Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers. • Partner with data engineering to build … with scientists to translate business insights and trends into experimentation and testing, and modeling. Basic qualifications • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience more »

the highest standards of analytical rigor and data integrity. domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers. with data engineering to build best … members. with scientists to translate business insights and trends into experimentation and testing, and modelling. Basic qualifications years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience with data visualization using Tableau, Quicksight, or similar tools with data modelling, warehousing and building ETL pipelines in Statistical Analysis … to process data for modelling with SQL in the data/BI space Preferred qualifications with AWS solutions such as EC2, DynamoDB, S3, and Redshift in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets more »

the highest standards of analytical rigor and data integrity. domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers. with data engineering to build best … members. with scientists to translate business insights and trends into experimentation and testing, and modelling. Basic qualifications years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience with data visualization using Tableau, Quicksight, or similar tools with data modelling, warehousing and building ETL pipelines in Statistical Analysis … to process data for modelling with SQL in the data/BI space Preferred qualifications with AWS solutions such as EC2, DynamoDB, S3, and Redshift in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets more »

highest standards of analytical rigor and data integrity. • Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers. • Partner with data engineering to build … business insights and trends into experimentation and testing, and modeling. Basic qualifications • 5+ years of SQL and experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in … for modeling • Experience with SQL • Experience in the data/BI space Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets For further detail please contact Katie more »

highest standards of analytical rigor and data integrity. • Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers. • Partner with data engineering to build … with scientists to translate business insights and trends into experimentation and testing, and modeling. Basic qualifications: • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience … for modeling • Experience with SQL • Experience in the data/BI space. Preferred qualifications: • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Client Description: Our Client is a more »

Create and maintain data pipelines using AWS services such as Glue, Lambda, Kinesis, and Data Pipeline. Design data models and databases using AWS RDS, Redshift, DynamoDB, and other relevant technologies. Data Integration and Management: Integrate various data sources and ensure smooth data flow across systems. Implement ETL processes to … degree in Computer Science, Information Technology, or a related field. Master’s degree preferred. Technical Expertise: Proven experience with AWS data services including S3, Redshift, RDS, Glue, Lambda, Kinesis, and Athena. Strong understanding of data modeling, ETL processes, and data warehousing. Proficiency in SQL and experience with database management more »