76 to 100 of 165 Remote Amazon Redshift Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

up environments. Requirements: 8+ years' experience in architecting, developing, scaling and monitoring complex data pipelines Expert in cloud data platforms e.g. Snowflake, Databricks, BigQuery, Redshift Expert in SQL and Python Strong understanding of data development best practices Strong understanding of design patterns and architectural best practices Experience of mentoring 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 ❯

coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What More ❯

AWS QuickSight is a significant advantage. Solid proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Proven ability to work autonomously, take ownership of projects, and proactively identify solutions. Strong analytical and problem-solving More ❯

coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What More ❯

coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What 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 ❯

and optimizing data models in our warehouse (DBT). What You'll Bring. Strong SQL skills with at least 3+ years of experience in Redshift or equivalent analytical databases. Proficiency in the modern analytics and data engineering stacks for example: DBT, Looker, Python, Git/GitHub, Workato, Fivetran, API More ❯

with AWS products including compute, storage, database, analytics, networking, developer tools, management tools, security, and enterprise applications. Tools: EC2, EKS, ECS, Fargate RDS, DynamoDB, Redshift Amazon EMR Kafka AWS Directory Service AWS IAM Identity Center AWS Certificate and Key Management AWS Networking Advanced technical skills and experience designing 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 ❯

your specialist discipline 8+ years' experience in architecting, developing, scaling and monitoring complex data pipelines Expert in cloud data platforms e.g. Snowflake, Databricks, BigQuery, Redshift Expert in SQL and Python Strong understanding of data development best practices Strong understanding of design patterns and architectural best practices Ability to see More ❯

SQL and PySpark skills, with a focus on writing efficient, readable, modular code. Experience of development on modern cloud data platforms (e.g. Databricks, Snowflake, RedShift). Familiarity of Data Lakehouse principles, standards and best practices. Understanding of event-driven architecture and data streaming technologies. Familiarity with Agile delivery methodologies More ❯

and optimising data pipelines Experience working with cloud platforms (e.g., AWS, GCP, or Azure) Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery) Understanding of data modelling and warehousing principles Experience working with large datasets and distributed systems What's in it for you? Up More ❯

Foods and to contribute to driving business performance through effective data-driven decision-making. The Key Requirements... Strong experience with AWS services (e.g., S3, Redshift, RDS) Proficiency in Matillion ETL Strong SQL skills Experience with data warehousing concepts and best practices Analytical mindset Self-motivated, results-driven Logical thinker More ❯

BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

managing modern data platforms and cloud environments (e.g. Azure, AWS, GCP) Familiarity with BI tools (Power BI, Looker) and data warehousing platforms (e.g. Snowflake, Redshift) Comfortable in build-phase environments — someone who thrives on shaping new functions and culture Why This Role is Unique You’ll own data transformation More ❯

e.g., Google Analytics, Heap). You're an expert using Python or DBT for data transformations. You've worked with cloud data warehouses (Snowflake, Redshift). You're passionate about creating solutions for stakeholders. You'll understand their requirements, clearly document them, identify potential barriers, and translate technical terminologies More ❯

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business … customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's … experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift - Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source More ❯

CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in supporting these practices in the workplace. What More ❯

CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in supporting these practices in the workplace. What More ❯