1 to 24 of 24 Amazon Redshift Jobs

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 »

design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end 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 »

evolves Technical Skills: Proficiency in SQL and one or more programming languages such as Python, R, or Java Data Warehousing solutions such as Snowflake, Redshift, or BigQuery Hands-on experience with ETL tools and frameworks such as Apache Airflow, DBT, or Talend Familiarity with data visualisation tools like Tableau more »

and accurate data for the clients product Optimize data storage and retrieval processes to enhance system performance and scalability. AWS: Utilize AWS services (S3, Redshift, EMR, Lambda, Kinesis) to build and manage scalable data infrastructure. Implement best practices for security, monitoring, and cost management within the AWS ecosystem. Collaborate more »

and accurate data for the clients product Optimize data storage and retrieval processes to enhance system performance and scalability. AWS: Utilize AWS services (S3, Redshift, EMR, Lambda, Kinesis) to build and manage scalable data infrastructure. Implement best practices for security, monitoring, and cost management within the AWS ecosystem. Collaborate more »

or data architecture. An excellent understanding and experience of delivering AWS centric solutions, specifically focused on Data. Proven experience with AWS services such as Redshift, Glue, S3, Lambda, RDS, and EMR. Strong experience with data modelling, ETL processes, and data integration tools. Proficiency in SQL, Python, and other programming more »

ScalaTest Spock, Jasmine, Mocha). Build tools (One of SBT, Gradle, Maven). Knowledge of AWS Big Data/Analytics services - S3, EMR, Glue, Redshift, QuickSight, Kinesis. Desierables Skills Experience of big data environments (also advising best practices/new technologies to Analytics team) Experience of handling large data more »

for data processing and analysis. Spark Python API/PySpark Hands-on experience with AWS services related to data storage and processing (e.g., S3, Redshift, Glue). In-depth knowledge of Databricks Delta Lake and Light Tables. Familiarity with Databricks Asset Bundles (DAB’s) for streamlining the development of more »

experience in shaping and designing data solutions (data analytics, data integration, data platform) using cloud-based hyperscales, with emphasis on AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. Hands on experience on design solutions using Snowflake and DBT. Familiarity with Databricks or more »

infrastructure. Required Skills: Proven experience as a Data Engineer with a focus on AWS technologies. Strong proficiency in AWS services such as S3, Glue, Redshift, and Athena. Expertise in designing and implementing ETL processes. Extensive Pyspark experience Building data pipelines from the ground up, ensuring efficiency and scalability. Experience more »

and code management. Experience with Extract, Transform, Load (ETL) processes. Experience with common data languages (e.g. Python, Scala), SQL, and data warehouses (e.g. Clickhouse, Redshift, BigQuery, Snowflake, Databricks). Experience defining and documenting complex data solutions and processing using JSON, XML (Python or R). Experience integrating and working more »

Extensive experience with AWS Database Migration Service (DMS) Proficiency with AWS Schema Conversion Tool (SCT)- Familiarity with other AWS services like AWS RDS, AWS Redshift, and AWS Glue | Databases: - Relational databases: Proficiency in MySQL, PostgreSQL, and Oracle NoSQL databases: Experience with DynamoDB and MongoDB NewSQL databases: Familiarity with databases more »

projects using relevant Data Architectural paradigms such as Kimball, Data Vault, Data Mesh, Lakehouse Demonstrable knowledge of key AWS services such as S3, EMR, Redshift, Athena, Lambda Excellent stakeholder management skills To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To more »

projects using relevant Data Architectural paradigms such as Kimball, Data Vault, Data Mesh, Lakehouse Demonstrable knowledge of key AWS services such as S3, EMR, Redshift, Athena, Lambda Excellent stakeholder management skills To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To more »

projects using relevant Data Architectural paradigms such as Kimball, Data Vault, Data Mesh, Lakehouse Demonstrable knowledge of key AWS services such as S3, EMR, Redshift, Athena, Lambda Excellent stakeholder management skills To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To more »

projects using relevant Data Architectural paradigms such as Kimball, Data Vault, Data Mesh, Lakehouse Demonstrable knowledge of key AWS services such as S3, EMR, Redshift, Athena, Lambda Excellent stakeholder management skills To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To more »

priorities. This is a 6 month contract, inside IR35. Hybrid working in central London and remote. Tech areas include (but not limit to): AWS redshift, event driven systems, telium, SQL, Java, Python. Responsibilities: Direct management of a team of data engineers Facilitate technical conversation with engineers to develop simple more »

business unit. You are very experienced in BigQuery and DBT - Looker is good as well Relational data warehouse at scale is applicable (e.g. Snowflake, Redshift ). You are a strong data modeller/data warehouser that can comfortably build out new scalable data models and work confidently with existing more »

Extensive experience with AWS Database Migration Service (DMS) Proficiency with AWS Schema Conversion Tool (SCT)- Familiarity with other AWS services like AWS RDS, AWS Redshift, and AWS Glue | Databases: - Relational databases: Proficiency in MySQL, PostgreSQL, and Oracle NoSQL databases: Experience with DynamoDB and MongoDB NewSQL databases: Familiarity with databases more »

In-depth AWS platform experience Strong understanding of data pipelines Devops background Leadership and stakeholder management experience knowledge around best practices for Quicksight and Redshift Contract: Inside IR35 3-month contract initially Remote contract with the odd meeting in the clients offices £500 per day Start asap If you more »

QA Test Analyst (SC Cleared) Permanent Telford/Hybrid (2-3 days on site) Salary: up to £65,000 + benefits NOTE: only applicants with Active Security Clearance will be considered for this role We are actively looking to secure more »

in collaborative Agile (Scrum/Kanban) environment. Extensive experience in data/reporting requirements analysis and definition. Experience working with Atlassian JIRA and Confluence. Amazon QuickSight and/or Redshift an advantage. Job Role Collaborate with business and technology stakeholders to identify the data needs of the organisation. more »

in collaborative Agile (Scrum/Kanban) environment. Extensive experience in data/reporting requirements analysis and definition. Experience working with Atlassian JIRA and Confluence. Amazon QuickSight and/or Redshift an advantage. Job Role Collaborate with business and technology stakeholders to identify the data needs of the organisation. more »