1 to 25 of 89 Amazon Redshift Jobs

degree in a related field or a demonstrated equivalent level of applicable experience. Experience in data architecture. Experience in cloud data engineering (S3, RDS, Redshift). Demonstrated strength in SQL, data modeling, ETL development, and data warehousing. Coding proficiency in at least one modern programming language (Python, Scala, Spark more »

degree in a related field or a demonstrated equivalent level of applicable experience. Experience in data architecture. Experience in cloud data engineering (S3, RDS, Redshift). Demonstrated strength in SQL, data modeling, ETL development, and data warehousing. Coding proficiency in at least one modern programming language (Python, Scala, Spark more »

degree in a related field or a demonstrated equivalent level of applicable experience. Experience in data architecture. Experience in cloud data engineering (S3, RDS, Redshift). Demonstrated strength in SQL, data modeling, ETL development, and data warehousing. Coding proficiency in at least one modern programming language (Python, Scala, Spark more »

a Data Architect or similar role, with a focus on AWS cloud environments. Strong knowledge of AWS services relevant to data architecture, such as Amazon Redshift, Amazon Athena, Amazon S3, AWS Glue, and AWS Lambda. Experience designing and implementing data lakes, data warehouses, and analytics solutions more »

building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS. · Experience with AI/Machine Learning and Predictive Analytics · Experience in developing global products will be a big plus. · Understanding of more »

develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices more »

cloud hosting provider (AWS (preferred), Google Cloud, Azure or similar). Experience using modern build tools such as Maven, Jenkins, GitHub, etc. Experience with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and more »

experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public more »

Strong experience of Python Deep knowledge of NLP such as hugging face and spacy AWS - ETL Processes (Glue, Lambda etc.), ECS, S3, Database Solutions (Redshift, RDS) Vector Databases a big plus Familiar with Graph Data Structure and Algorithms Benefits: Competitive salary and benefits package, including health insurance, life insurance 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 »

database structure systems, data mining, data analysis, and strong software engineering skills. Strong understanding of Data Engineering Proficiency in AWS, data warehousing (Snowflake, Databricks, Redshift), big data frameworks (Spark, Kafka), container orchestration platforms (Kubernetes), and data integration/ETL tools. Strong written and verbal communication skills, with the ability 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 »

Data modelling Principles & best practices and also needs prior experience leading a data engineering team. Key Tech: - AWS (S3, Glue, EMR, Athena, Lambda) - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge of SQL This is a more »

deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in more »

deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in 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 »

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 »

self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. Desired 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 »

Lead AWS Data Engineer - London (Hybrid) - Permanent - £90,000-£100,000 Start-up, AWS, DBT, Redshift, PostgreSQL, Python, MongoDB, ELT *You must be based in London, and have full permanent right to work in the UK to apply for this role* I'm currently working with an exciting and … Engineer to join the team! Specifically, they're looking for: Extensive experience as a Data Engineer using AWS Very strong ability in DBT and Redshift Proven experience working in an autonomous, start-up environment . Expert ability with PostgreSQL , ELT , unstructured data , and MongoDB . Experience with infrastructure architecture … advert above ASAP and I will be in touch. Lead AWS Data Engineer - London (Hybrid) - Permanent - £90,000-£100,000 Start-up, AWS, DBT, Redshift, PostgreSQL, Python, MongoDB, ELT more »

entails migrating an existing stack of Tableau reports and dashboards from an on-premises Tableau/Microsoft SQL server environment to Tableau utilizing AWS Redshift serverless as the adjacent data store. Required Skills/Experience Bachelors' degree or equivalent work experience 3+ years' experience developing Tableau reports and dashboards more »

AWS Certified Solutions Architect - Professional, AZ-305) Intermediate to expert level familiarity with a commercial analytics or data warehousing platform such as Databricks, Snowflake, RedShift, Azure DataLake Experience with AI/ML applications and pipelines Industry knowledge in any of the following verticals is highly desired: Healthcare/HealthTech more »

transform and load the datasets. Your Profile Key skills/knowledge/experience: Good understanding of AWS cloud data platform services: EC2, EMR, RDS, Redshift, Glue. Ability to work with object-oriented scripting languages: Python, Pyspark. Knowledge of data pipeline and workflow management and their tools such as Airflow. 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 »

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 »