1 to 25 of 56 Amazon Redshift Jobs in London

within the music industry. Requirements To qualify for this role, you will require: · Strong experience with SQL and Tableau · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £52,000 · 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 »

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 »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

player who can work independently or lead a team as required. Strong knowledge of 3DS Max/Maya or C4D, Corona/VRay/Redshift, After Effects, Photoshop. Understanding of film language and shot selection. Knowledge of SideFX Houdini. Knowledge of Tyflow (if 3DS Max user) Benefits include: Salary more »

ANALYTICS ENGINEER CENTRAL LONDON, HYBRID £55,000 - £75,000 THE COMPANY A dynamic payments business dedicated to facilitating money transfers to 2nd and 3rd-world countries. They use data to democratize financial services, making it accessible, inexpensive, and secure for 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 »

with suppliers like Snowflake, FiveTran, and dbt. Requirements: Proven experience leading and mentoring data engineering teams. Hands-on with cloud-based data warehousing (Snowflake, Redshift, or Databricks) and SQL. Extensive knowledge of data management and Data Ops (ingestion, pipelines, CI/CD). Strong project management skills in a more »

and reporting. • Specialised in AWS cloud technologies for ETL, data warehouse, and data lake design. • Hands-on experience with AWS services like EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. • Capable of processing large volumes of structured and unstructured data on AWS. • Familiarity with AWS best practices in data engineering, data more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

processes using AWS services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including Amazon S3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality and integrity through validation and cleansing techniques. Collaboration : Work … focus on AWS and cloud technologies. Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database 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 »

build relationships based on trust and value. The Lead Data Architect will design and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use other tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow … aligned to the functional and non-functional requirements Work closely with other members of agile deployment team Selection & configuration of appropriate, base technologies (eg Amazon Redshift, RDS) Selection & application of appropriate standards & principles Capture & implementation of functional & non-functional requirements Expert in data modelling and latest data trends 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 »

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 »

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 »

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 »

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 »

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 »