1 to 25 of 62 Amazon Redshift Jobs in London

CISA, GISF, CEH, GSSP, CSSLP, GCIH, CGEIT, MCP, CCNA, and others relevant for the CISO role. Background in IT Platforms and their security including: Amazon AWS environment and control capabilities.Microsoft 365 and Azure environment and control capabilities.Experience in operating and securing in SaaS operating models.Experience in operating and securing … Windows, Linux)Mobile devices (Android, iOS, Windows)Servers (Linux, Windows)Web servers (IIS, Apache, NGNIX)Databases (SQL Server, Oracle, Mongo DB, Postgres, Reddis)Datawarehouse (Redshift, Snowflake)Network devices (Firewalls, Proxy, NIPS, others)8+ years of experience in critical security concepts, functions and tools including: Security by DesignNetwork and Infrastructure 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.Computer Science or Software Engineering degree/BSc or higherExperience leading a Machine Learning/MLOps teamLow ego management styleStrong 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 »

company at the forefront of the Media industry. As an AWS Data Engineer, you'll spearhead the design, implementation, and upkeep of our AWS Redshift data warehouse, ensuring it operates at peak performance, scalability, and reliability. Technical Skills required: RedShift Glue (inc. Glue Studio, Glue Data Quality, Glue 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 »

Rust is a plus). Familiarity with ETL principles in contemporary data applications (Dagster, Airflow, Perfect). Familiarity with AWS services such as Glue, Redshift, Athena, and S3. Proficiency with Terraform, Kubernetes, and ArgoCD (expertise not required; cloud team support available). Thorough understanding of software engineering techniques, including 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 »

platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). • In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. • Excellent consulting experience and ability 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 »

data scientists and architects on several projects EXPERIENCE: Proven track record of success in Data Engineering teams Experience with relational and MPP databases (Snowflake, Redshift, Big Query etc). Experience with data modelling techniques (Kimball/Star, Datavault, etc). Experience with SQL and query design on large, complex more »

5+ years of experience in data engineering, with a strong background in ETL processes. Proficiency in AWS services, including but not limited to S3, Redshift, Lambda, and Glue. Strong programming skills in Python. Experience with data modeling, database design, and data warehousing. Excellent problem-solving skills and attention to more »

knowledge of relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent scripting skills (e.g., Python, SQL). Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to more »

and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Exposure to cloud platforms (e.g., AWS, GCP, Azure) and more »

has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc.Very solution-driven, and highly collaborative at providing thought leadership and soliciting diverse opinionsAccountable for results. Experienced in leading team of data engineers more »

a related field. 10+ years of experience in data engineering, with a focus on ETL processes. Deep expertise in AWS services such as S3, Redshift, Lambda, and Glue. Advanced programming skills in Python. Proven track record of leading successful data engineering projects. Strong business acumen and experience in client more »

and efficiency. Our Tech Stack: The team use a diverse range of technologies to drive their mission: Shopify Python (AWS Fargate & Lambdas) PHP Vue.js Amazon Redshift & MySQL Requirements: We are looking for someone with experience in a post-Seed stage tech startup, who has managed and hired team 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 »

highest standards of analytical rigor and data integrity. • Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf our customers. • Partner with data engineering to build … business insights and trends into experimentation and testing, and modeling. Basic qualifications • 5+ years of SQL and experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in … for modeling • Experience with SQL • Experience in the data/BI space Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets For further detail please contact Katie more »

Create and maintain data pipelines using AWS services such as Glue, Lambda, Kinesis, and Data Pipeline. Design data models and databases using AWS RDS, Redshift, DynamoDB, and other relevant technologies. Data Integration and Management: Integrate various data sources and ensure smooth data flow across systems. Implement ETL processes to … degree in Computer Science, Information Technology, or a related field. Master’s degree preferred. Technical Expertise: Proven experience with AWS data services including S3, Redshift, RDS, Glue, Lambda, Kinesis, and Athena. Strong understanding of data modeling, ETL processes, and data warehousing. Proficiency in SQL and experience with database management more »

order to produce and influence the adoption of strong quality data insights to drive business decisions in all areas of Algolia. We currently use Redshift as our data warehouse. The Data Warehouse is positioned as the single source of truth for Algolia’s corporate data, performance analytics, and company … the model to meet new business requirements2+ years managing an analytics engineering team using a scrum/agile methodologyExperience working with commercial data warehouses (Redshift), ETL tools (Dbt), data visualization (Python notebook, Thoughtspot, Looker, Tableau, Hex), and Data Dictionary tools (Atlan)Demonstrated experience leading 2 or more multi-department more »

At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we’re constantly taking to new levels is how we fulfill and deliver customers’ orders. Our goal is to delight our customers by delivering their packages quickly and accurately, anywhere in … the world. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels by pioneering new products and services in the last mile delivery space. Come join the team and help us work hard, have fun, and make history! The EU DSP Management … of results PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - AWS Cloud Practitioner/AWS Solutions Architect/AWS Data Engineer Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on more »

across their estate of cloud native software products and services. The DevOps Engineer will have deep knowledge of the AWS data engineering stack: Kinesis, Redshift, Glue, EMR and be passionate about writing high-quality code that not only solves problems but improves the overall estate. The role will involve … going forward. Required DevOps Engineer experience. AWS skills. Docker, Kubernetes skills. knowledge across the AWS data engineering stack including but not limited to: Kinesis, Redshift, Glue, EMR, Databricks. of the software development lifecycle and the role DevOps plays within it. working in autonomous agile teams and environments. to degree more »

85K -Senior DevOps and Security Engineer - London/HybridA challenging opportunity has opened up with an upcoming start-up Bank for a Senior DevOps and Security Engineer to join the team!This role will be working on a grass roots more »

more ways of identifying high-growth companies. With VC investment skyrocketing over the past few years, the competition to find the next Facebook or Amazon has increased exponentially. This company have already built a platform that allows these companies and their internal researchers to spot interesting talents early on. … to the founding members, and you’ll be given ownership on the direction of data engineering across the business. They’re currently using Python, Redshift, RDS, Postgres, on AWS as the core technologies within engineering, but you’ll be able to come in and share ideas on how to more »