1 to 25 of 40 Permanent Amazon Redshift Jobs in London

in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements * Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR) * Java, Scala, Python, Spark, SQL * Experience of developing enterprise grade ETL/ELT data pipelines. * Deep understanding of data manipulation/wrangling more »

These: Exposure to, and ideally experience with, modern data architectures (e.g. data lake, lake house, data mesh) and accompanying technologies (e.g. Azure Synapse, Snowflake, Amazon Redshift) Awareness of data governance and all surrounding legislation Interest in security and how to handle PII data Excellent written and verbal communication more »

useful. Engineer with past experience with Java, Data, and Infrastructure (DevOps). Java is a key skill Programming: Java, Python, PySpark Storage Mechanisms: MongoDB, Redshift, AWS S3 Cloud Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Data Platforms: Creating data pipelines within Databricks or equivalent such more »

able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming, code more »

EC2 & Lambdas) Innovations lab management software Sylius - Symfony PHP based order management system Vue.js Point of sale system Python infrastructure connecting various API services Amazon Redshift data warehouse, Redis & MySQL iOS app - Swift Requirements 6+ Years of experience in Full stack development, including managing other developers/team more »

strong DataOps team. As a Data Engineer, you will be working closely with devOps and analytics teams building out and supporting the Data Warehouse (Redshift, migrating to Snowflake), core data pipelines, and supporting our data infrastructure, and analytics capabilities. The role will also have DBA responsibilities for databases across … UK and meet the following criteria: Required Skills & Experience: Working experience of core AWS services (S3, EC2, VPC, RDS, Lambda) Expert knowledge of AWS Redshift, Snowflake Cloud Data warehouse (Both preferable) Experience in designing and implementing data warehouses, data marts or data lakes Data-modelling techniques (Relational, 3NF and … AWS Glue, DBT, airflow etc. GIT and experience in building CI/CD pipelines DBA Experience in AWS cloud environment managing AWS Aurora, and Amazon RDS (MySQL, Postgres, MSSQL) Desired: Experience of financial services or consumer finance IaaC such as Terraform or AWS CloudFormation Knowledge of visualization tools, e.g. more »

pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects, reflecting your commitment 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 »

engineering team, focused on the technical work as well as creating the overarching strategy for decision making Use DBT, SQL, Python and AWS/Redshift to build features into the analytical pipelines, driving the advanced analytics techniques Design, develop and maintain data pipelines, ETL processes, and data warehouses to more »

data projects (e.g. ETL pipelines, data migration, data ingestion) * Experience of developing and executing Test automation using SQL, Python and AWS services (Lambda, Glue, Redshift, DynamoDB) * Should have minimum 8 yrs of relevant experience (maturity and exposure to the above two is very important) so that the person can more »

cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical more »

experience Exposure to, and ideally experience with, modern data architectures (e.g. data lake, lake house, data mesh) and accompanying technologies (e.g. Azure Synapse, Snowflake, Amazon Redshift) Awareness of data governance and all surrounding legislation Interest in security and how to handle PII data Excellent written and verbal communication more »

re an experienced Data Engineer with a range of skills and experience You have strong AWS, Snowflake and DBT (will also consider Databricks or Redshift) You have a good understanding of IaC, ideally Terraform experience You have a good knowledge of Data Warehousing, data modelling and data transformation You more »

re an experienced Data Engineer with a range of skills and experience You have strong AWS, Snowflake and DBT (will also consider Databricks or Redshift) You have a good understanding of IaC, ideally Terraform experience You have a good knowledge of Data Warehousing, data modelling and data transformation You more »

analytics packages (i.e. GA) Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery Experience of using git for version control (e.g. BitBucket) Experience with Jupyter Notebooks Competencies Enquiring/questioning mind Ability to more »

the following key technology skills: Systems integration, APIs – REST, SOAP etc Informatica SQL Server Integration Services (SSIS) Azure Data Factory Databricks/Apache Spark Amazon RedShift Azure Synapse SQL Server Oracle Database Oracle Data Integrator Oracle Integration Cloud Business Objects Data Services (BODS) Equivalent tech (useful similar products more »

Profile Key skills/knowledge/experience: Experience of AWS Data platform experience including AWS-EMR Cluster Platform, Glue, EC2, S3, VPC, IAM, RDS, Redshift, Sagemaker, Lake formation and Glue catalogue. Data Storage Fundamentals. Cloud specific patterns and technologies. AWS Service Selection, Container design. Designing DevSecOps pipelines. Experience in more »

pipelines on AWS, ensuring high performance and low latency data processing. AWS Service Utilisation: Utilise various AWS services such as S3, Glue, EMR, Athena, Redshift, and Lambda to build end-to-end data pipelines that meet business requirements and compliance standards. Team Leadership: Lead and mentor a team of … years) in designing, building, and managing large-scale data pipelines on AWS. Strong expertise in AWS services such as S3, Glue, EMR, Athena, Redshift, and Lambda. Proficiency in programming languages such as Python, Scala, or Java for data processing and automation. Solid understanding of data modeling, data warehousing concepts more »

analytics packages (i.e. GA) Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery more »

and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pippingand modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business more »

advocate for high-quality data solutions Requirements You: You will have previous proven experience: building, modelling, and maintaining data pipelines with a range of Amazon Web Service products and technologies such as EC2, S3, Lambda, and Redshift designing data infrastructure to support modelling and data analytics as an more »

join their Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage more »

forward. THE ROLE Work closely with the product team, and influence the product roadmap through insight recommendations Querying datasets from BigQuery and/or Redshift to understand how users are interacting with products Day-to-day product analytics, measurement, and reporting Setting up and running A/B tests more »

or Entertainment experience. Experience managing, mentoring, or coaching a small team of analytics engineers. Advanced knowledge and commercial experience with tools such as DBT, Redshift, and other AWS tools. Good educational background is preferred. Strong communication skills. A passion for gaming! THE BENEFITS A salary of up to more »

Server Proven database administration and engineering skills Experience of live transactional systems and/or live consumer products Cloud experience with AWS and (ideally) RedShift Strong understanding of data warehousing and BI Knowledge of PostgreSQL is ideal Solid knowledge if database security more »