57 Amazon Redshift Jobs with Hybrid or WFH Options

essential. Core skills for this Data Engineer role: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS Glue, Amazon DynamoDB for NoSQL database management, Amazon Redshift for data warehousing, and AWS Lambda Designing & developing ETL Pipelines Familiarity with big data technologies more »

ETL and DataOps principles is essential. Core skills: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS Glue, Amazon DynamoDB for NoSQL database management, Amazon Redshift for data warehousing, and AWS Lambda Designing & developing ETL Pipelines Familiarity with big data technologies 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 »

Key Skills/requirements Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g. more »

and experience, likely to be from an infrastructure/systems background You have a strong knowledge of AWS and associated tools such as CDK, Amazon MSK (Kafka), RDS, VPC, networking, Fargate You have a good knowledge of databases, they use Redshift and PostgreSQL You have experience with CI more »

and translate them into recommendations for marketing use Got to have hands-on SQL skills and have experience of working with Cloud warehouses like Redshift Confident presenting skills Natural curiosity around the mechanics behind the why in data findings and analytics outputs Comfortable in pacey environments like youd expect 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 »