101 to 125 of 345 Remote Amazon Redshift Jobs

years of experience in a commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in More ❯

data models, data mining and segmentation techniques You have coding skills with Python (or C#) and SQL You have experience with SQL databases (e.g. Amazon Redshift, PostgreSQL) You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis) You have strong analysis and problem solving skills You're More ❯

organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data systems. To succeed, you’ll More ❯

organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data systems. To succeed, you’ll More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

Essential Criteria - Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline - 7+ years of experience with advanced SQL (Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, MSSQL, etc.) - 5+ years of experience with reporting/visualization tools (Looker, Tableau, Power BI, etc.) - Strong knowledge of Looker/LookML More ❯

What We’re Looking For 4+ years of experience in Python development (Flask, Django). Strong expertise in AWS cloud environments (EC2, S3, RDS, Redshift, Athena). Experience with SQL databases (PostgreSQL, SQLAlchemy). Knowledge of ETL pipelines, API development, and front-end technologies (HTML, CSS). Experience with More ❯

Engineering experience Understanding of data warehousing, data modelling concepts and structuring new data tables Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have Experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience More ❯

data visualisation and analytics development. Good knowledge of data modelling and cloud data warehouse concepts. Experience working with cloud data platforms (e.g., Snowflake, AWS Redshift, Google Big Query). Excellent communication and collaboration skills. The ability to thrive in a high-pressure, fast-paced environment. Something to note... Here More ❯

Implement best practices for cloud security, cost optimization, monitoring, and alerting. - Support the deployment and maintenance of modern data stacks (e.g., Snowflake, Databricks, BigQuery, Redshift). - Design and enforce networking, identity access, and compliance standards aligned with client requirements. - Write documentation, runbooks, and client-facing reports to support infrastructure More ❯

Implement best practices for cloud security, cost optimization, monitoring, and alerting. - Support the deployment and maintenance of modern data stacks (e.g., Snowflake, Databricks, BigQuery, Redshift). - Design and enforce networking, identity access, and compliance standards aligned with client requirements. - Write documentation, runbooks, and client-facing reports to support infrastructure More ❯

to deliver business and customer outcomes. AWS Data Product Development: Lead the development of cloud-native data products using AWS services such as S3, Redshift, Glue, Lambda, and DynamoDB, aligning with business needs. Technical Leadership & Advisory: Act as a trusted AWS expert, advising clients on cloud migration, data strategy … experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs, CTOs, CIOs), lead cross-functional teams, and drive technical More ❯

to deliver business and customer outcomes. AWS Data Product Development: Lead the development of cloud-native data products using AWS services such as S3, Redshift, Glue, Lambda, and DynamoDB, aligning with business needs. Technical Leadership & Advisory: Act as a trusted AWS expert, advising clients on cloud migration, data strategy … experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs, CTOs, CIOs), lead cross-functional teams, and drive technical More ❯

to deliver business and customer outcomes. AWS Data Product Development: Lead the development of cloud-native data products using AWS services such as S3, Redshift, Glue, Lambda, and DynamoDB, aligning with business needs. Technical Leadership & Advisory: Act as a trusted AWS expert, advising clients on cloud migration, data strategy … experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs, CTOs, CIOs), lead cross-functional teams, and drive technical More ❯

optimising, and orchestrating data pipelines using dbt (Data Build Tool) . Developing and maintaining scalable workflows within cloud-native data warehouses, such as BigQuery , Amazon Redshift , or Snowflake . Writing and optimising complex SQL queries for data transformation and analysis. Bridging the gap between data engineering and data … analytical needs. Candidate Requirements Proven experience working with dbt to design and manage data pipelines. Expertise in cloud-native data warehousing platforms like BigQuery , Redshift , or Snowflake . Advanced proficiency in SQL , with a focus on performance optimisation and data modelling. Experience with data analysis and familiarity with data More ❯

ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯

ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯

What We’re Looking For 4+ years of experience in Python development (Flask, Django). Strong expertise in AWS cloud environments (EC2, S3, RDS, Redshift, Athena). Experience with SQL databases (PostgreSQL, SQLAlchemy). Knowledge of ETL pipelines, API development, and front-end technologies (HTML, CSS). Experience with More ❯

fix performance and data issues across the database Experience with AWS services (especially Glue, S3, RDS) Exposure to big data eco-system – Snowflake/Redshift/Tableau/Looker Python programming skills Excellent written and verbal communication skills in English An ideal candidate would also have: High degree of More ❯

fix performance and data issues across the database Experience with AWS services (especially Glue, S3, RDS) Exposure to big data eco-system - Snowflake/Redshift/Tableau/Looker Python programming skills Excellent written and verbal communication skills in English An ideal candidate would also have: High degree of More ❯

related role Excellent SQL skills Good understanding of relational and analytical database architectures and methodologies Experience of cloud data warehousing solutions e.g. Snowflake, BigQuery, Redshift Good hands-on experience with at least one Business Intelligence platform Strong analytical and problem-solving skills Excellent communication skills, with the ability to More ❯

Jenkins. CLI scripting (e.g., Bash or Python). PHP, Python, and Node.js. Consul and Vault. Highly Available RabbitMQ. Windows Server, SQL Server, & Active Directory. Redshift and Grafana. Blue/Green Deployments. PCI-DSS Compliance. Working with monolithic applications. Future direction to break down services & microservices, containerization, etc. Serverless stacks More ❯

Languages & Technologies Languages: Python (Boto3 & Moto), Java, React. AWS Technologies: Lambda, S3, Step Functions, Kinesis/Kafka, SNS/SQS, GraphQL, RDS/Aurora, Redshift, IAM, CloudWatch/CloudTrail, CloudFormation, API Gateway. Qualifications At least five years of relevant work experience, including two years of development. Undergraduate degree or More ❯

data modeling, or a related field Deep understanding of data architecture frameworks (e.g., TOGAF, DAMA-DMBOK) Experience with cloud-based data platforms (e.g., AWS Redshift, Azure Synapse, Snowflake) Familiarity with Ellucian Banner, Workday, or similar ERP/SIS systems Strong communication and facilitation skills, with the ability to work More ❯

experience with BI tools, ideally AWS QuickSight. Proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Ability to work autonomously, take ownership of projects, and proactively find solutions. Strong analytical and problem-solving skills More ❯