1 to 25 of 119 Amazon Redshift Jobs in England

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 »

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 »

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 »

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 »

ECS, CloudFront, ALB, API Gateway, RDS, CodeBuild, SSM, Secret Manager, Lambda, API Gateway etc. Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery). Knowledge of Database administration Demonstrate experience of using Terraform to provision and configure infrastructure Scripting 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 »

platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP. Essential Skills and Experience: * AWS (e.g., Athena, Redshift, Glue, EMR) * Strong AWS Data Solution Architect Experience on Data Related Projects * Java, Scala, Python, Spark, SQL * Experience of developing enterprise grade ETL/ 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 »

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 »

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 »

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 »

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 »

in designing and building data pipelines using ETL tools like Apache Spark or Apache Beam Experience with cloud-based data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake Proficiency in SQL and NoSQL databases Familiarity with data modeling techniques and implementing efficient database schemas Knowledge of more »

in designing and building data pipelines using ETL tools like Apache Spark or Apache Beam Experience with cloud-based data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake Proficiency in SQL and NoSQL databases Familiarity with data modeling techniques and implementing efficient database schemas Knowledge of 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 »

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 »

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 »

years of experience as a Data Engineer or in a similar role. Strong proficiency in AWS services related to data engineering (e.g., S3, Redshift, Glue). Hands-on experience with Databricks for data processing and analytics. Proficient in Python programming for data manipulation and automation. Solid understanding of Apache 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 »

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 »