13 of 13 Permanent Amazon Redshift Jobs in Hertfordshire

to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure 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 ❯

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 ❯

Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … a related field. 2. Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3. Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4. Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5. Proficiency in statistical analysis More ❯

work and offer access to social media opportunities. Job Responsibilities: Collaborate with teams to understand business goals and define analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and … pattern analysis. Develop KPIs and create dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics … services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing, and statistical analysis. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark More ❯

and shape our data strategy to support business growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from various sources into AWS. Apply statistical and machine learning techniques for predictive and pattern … analysis. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and inform product and user engagement strategies. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist … preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics More ❯

Architect to support new projects and ongoing scaling efforts. The ideal candidate will have 10+ years of experience in Data Engineering/Architecture with expertise in: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience Benefits include: Free Certification Scheme (ServiceNow, TOGAF) Uncapped 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 ❯

and analytics strategy for Premier Foods and to contribute to driving business performance through effective data-driven decision-making. The Key Requirements... Strong experience with AWS services (e.g., S3, Redshift, RDS) Proficiency in Matillion ETL Strong SQL skills Experience with data warehousing concepts and best practices Analytical mindset Self-motivated, results-driven Logical thinker Ability to work in a More ❯

Work alongside a team of data professionals to foster a culture of continuous improvement and innovation. Experience/Qualifications – Data Warehouse Engineer • In depth experience with AWS Services (S3, Redshift, RDS) • Proficiency in Matillion ETL • Strong SQL skills • Experience with data warehousing concepts and best practice • Experience working in FMCG environment Candidates who are currently a ETL Engineer, Data More ❯

Work alongside a team of data professionals to foster a culture of continuous improvement and innovation. Experience/Qualifications – Data Warehouse Engineer • In depth experience with AWS Services (S3, Redshift, RDS) • Proficiency in Matillion ETL • Strong SQL skills • Experience with data warehousing concepts and best practice • Experience working in FMCG environment Candidates who are currently a ETL Engineer, Data More ❯

certification schemes, pension, private medical, and progression opportunities. The ideal candidate will have over 10 years of experience in Data Engineering/Architecture and expertise in: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return, the company offers: Free Certification Scheme More ❯