11 of 11 Amazon Redshift Jobs in South Wales

welcome candidates from all backgrounds and encourage applications from those with transferable experience. You’ll ideally bring: Experience building ETL pipelines in Python. Familiarity with analytical data warehouses (e.g. Redshift preferred, or Snowflake/BigQuery). Understanding of orchestration tools such as AWS Step Functions, Airflow, or AWS Batch. Experience working with Agile methodologies. Awareness of automated testing and More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

data pipelines Solid development experience within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery processes Hands on More ❯

with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities Understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes. Apply statistical and machine learning techniques for predictive and pattern analyses. Develop KPIs, dashboards, and … governance. Requirements Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL More ❯

analysis strategies, building data pipelines, applying machine learning techniques, creating dashboards, and optimizing data architecture. Responsibilities: Understand business objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes. Apply statistical and machine learning techniques for analysis. Create dashboards and KPIs for decision-making. Conduct exploratory More ❯

Senior Data Engineer | Full Time | Bristol | Redshift/BigQuery | SQL | CI/CD | GIS | Python One of SR2's longstanding clients has engaged us to support their search for a Data Engineer to join their team and elevate their data engineering practices and principles. This role is purely engineering-focused, and the company is doing interesting work in a … a focus on career progression for all staff. Skills required: Proven experience in a Data Engineering role. Experience with Cloud platforms – AWS and GCP preferred. Experience with BigQuery/Redshift is desirable. Understanding of different databases (Structured, non-relational, Graph, etc.). CI/CD experience. Python or Java experience is preferred. GIS experience is desirable. ETL experience (Ideally More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering Free Certification More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering: Free Certification More ❯

will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below and I will More ❯

management Basic knowledge at some software development environments and technologies, e.g.: Software development (Python, JavaScript, ASP, C#, HTML5) Data storage technologies (SQL, . Net, NoSQL (Neo4J, Neptune), S3, AWS (Redshift) ) Web development technologies and frameworks (e.g. Angular, AngularJS, ReactJ) DevOps methodologies and practices Software testing principles and practices (e.g., unit, integration, E2E testing, QA methodologies) 3+ years as scrum More ❯