126 to 150 of 900 Permanent Amazon Redshift Jobs

scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and More ❯

scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and More ❯

in a similar role, with a focus on building and maintaining data pipelines. Commercial awareness of the e-commerce industry Proficiency in working with AWS data services (e.g. S3, Redshift, Glue, Lambda). Strong understanding of Power BI for dashboard creation and data visualization. Experience with Google Analytics 4 for data integration and reporting. Proficiency in Python, SQL, and More ❯

Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as Code (Terraform, CloudFormation More ❯

process large volumes of structured and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with CircleCI, Terraform or similar tools More ❯

experience working in teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line More ❯

are keen to do so) Data Analysts, Data Scientists and Software Engineers. Practical knowledge of (or strong desire to learn) the following or similar technologies: Python Airflow Data Warehousing (Redshift/Snowflake) SQL (We use DBT for modelling data in the warehouse) Data Architecture including Dimensional Modelling Otherwise an interest in learning these, with the support of the team More ❯

relational databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years of experience in data engineering More ❯

Python and version control systems like Git. Familiarity with Jinja templating and macros. Experience with BI tools like Looker or similar. Experience working with cloud data warehouses such as Redshift or Snowflake. Why CoverWallet At CoverWallet you will have the opportunity to be a key player in the transformation of one of the largest industries and in one of More ❯

cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

The Amazon Pricing & Promotions Analytics team seeks a Senior Data Engineer to build automated pricing solutions that deliver competitive prices to customers. In this role, you will design and implement data analytics solutions that drive pricing decisions while creating automated anomaly detection systems to monitor pricing effectiveness. Your responsibilities include analyzing customer behavior patterns to inform pricing strategy and … developing actionable insights for senior leadership to guide business decisions. You will partner with stakeholders to implement data-driven pricing recommendations. Your work will directly impact Amazon's pricing strategy and customer experience. The position requires expertise in data analysis and a track record of translating complex data into clear business recommendations. Key job responsibilities - Design and implement modern … data pipelines and business intelligence solutions - Configure and optimize AWS services including EC2, RDS, Redshift, Kinesis, EMR, and Lambda - Create scalable data architecture to support analytics, data science, and customer reporting needs - Collaborate with technology teams to develop ETL processes across multiple data sources - Automate reporting systems and enhance self-service analytics capabilities for customers About the team The More ❯

How often have you had an opportunity to be at ground zero of a disruptive, fast-growing, and evolutionary global Amazon service? How frequently do you get to start from the foundation and solve customer needs at a global scale in a fast-growing entertainment streaming industry? At Prime Video, we are pioneering a new generation of digital supply … must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. Key job responsibilities • Solve ambiguous problems with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes • Own the design, development … and maintenance of ongoing metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions. • Learn and understand the broad range of Amazon's data resources and develop knowledge of how, when and which data sources to use • Deep dive into massive data sets to answer key business questions using the right tools/languages like SQL, Python, Quicksight, etc.. More ❯

Business Intelligence Engineer, ORC(ORC- Operations Risk Compliance) Program Analytics Job ID: 2862269 | Amazon EU SARL (UK Branch) The Amazon ORC Analytics team is looking for a creative problem solver, analytical and technically skilled Business Intelligence Engineer to join our dynamic team. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence … Complete statistical tests like hypothesis testing, including parametric and non-parametric tests and is familiar with A/B testing. BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in Statistical Analysis packages such as … Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We More ❯

and other observability tools. Manage and optimise Kafka clusters for real-time data streaming. Oversee and maintain containerized workloads using EKS (Kubernetes on AWS) . Support data infrastructure, including Amazon Redshift for analytics and storage. Implement security best practices and compliance controls within cloud environments. Collaborate with development, security, and operations teams to drive DevOps best practices. Automate … to automate visualisation (management tools such as Sentry and Grafana). Design procedures for system troubleshooting and maintenance. Required Skills & Experience Strong experience with AWS services , particularly EKS, Kafka, Redshift, and CloudWatch . Hands-on experience with Kubernetes and container orchestration. Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar). Proficiency in Infrastructure as More ❯

Would you like to work on one of the world's largest transactional distributed systems? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Selling Partner Services (SPS … responsibilities 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management. 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms … and WW) use cases on our data platform 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies 6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. 7. Drive More ❯

/or AWS Machine Learning Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI and Cutting-Edge Technologies: Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads. Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker JumpStart and … Hugging Face on AWS. Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation. Machine Learning Frameworks and Pipelines: In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability. Skilled in distributed model training with multi-GPU clusters and optimization for … high-performance inference. Data Engineering and AI Workflow Optimization: Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads. Experienced in optimizing data preparation for large-scale AI model training and inference workflows. AI Integration and Deployment: Expertise in building end-to-end AI pipelines using AWS Lambda, Step More ❯

Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement … and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS solutions such as … EC2, DynamoDB, S3, and Redshift - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - 4+ years of ecommerce, transportation, finance or related analytical field experience - Experience in Statistical Analysis packages More ❯

and regulations. Optimize data storage, processing, and retrieval mechanisms for performance and cost-efficiency. Automate deployment, monitoring, and maintenance tasks using AWS services such as AWS Glue, AWS Lambda, Amazon EMR, etc. Conduct performance tuning and optimization of data processing workflows to ensure high availability and reliability. Stay up-to-date with the latest AWS technologies and trends in … field. Proven experience as a Data Engineer, Data Architect, or similar role with a focus on AWS technologies. In-depth knowledge of AWS services such as S3, Glue, EMR, Redshift, Athena, Kinesis, etc. Strong programming skills in languages such as Python, Scala, or Java. Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. Experience More ❯

Boku Inc. (BOKU.L) is the leading global provider of local mobile-first payments solutions. Global brands including Amazon, DAZN, Meta, Google, Microsoft, Netflix, Sony, Spotify, and Tencent rely on Boku to reach millions of new paying consumers who do not use credit cards with our purpose-built payment network of more than 300 local payment methods across 70+ countries. … Technical Skills: Strong proficiency in SQL and Python for data transformation and scripting Experience building data models with dbt or similar tools Understanding of modern data warehousing platforms (e.g. Redshift) Familiarity with data modelling techniques and transformation best practices Experience with API integration and working with external data sources Exposure to BI tools (e.g., Tableau, Power BI, etc) and More ❯

Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on More ❯

excellence — this could be the one. What you’ll do as a Principal Data Engineer: • Lead the architecture and build of modern data platforms using AWS-native tools (S3, Redshift, Lambda, Glue, DynamoDB, Matillion, etc.). • Drive best practices in CI/CD, Infrastructure-as-Code, and data ops methodologies. • Liaise directly with clients to define requirements, shape technical … production-ready. • Be an advocate of clean code, DevOps, and hands-on engineering leadership. Skills you’ll bring as a Principal Data Engineer: • Extensive experience with AWS data services (Redshift, Glue, S3, etc.). • Hands-on with ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience More ❯

excellence — this could be the one. What you’ll do as a Principal Data Engineer: • Lead the architecture and build of modern data platforms using AWS-native tools (S3, Redshift, Lambda, Glue, DynamoDB, Matillion, etc.). • Drive best practices in CI/CD, Infrastructure-as-Code, and data ops methodologies. • Liaise directly with clients to define requirements, shape technical … production-ready. • Be an advocate of clean code, DevOps, and hands-on engineering leadership. Skills you’ll bring as a Principal Data Engineer: • Extensive experience with AWS data services (Redshift, Glue, S3, etc.). • Hands-on with ETL/ELT using Matillion or similar tools. • Strong Python and SQL skills, with a good understanding of data formats • Demonstrated experience More ❯

GCP/AWS/Azure 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 to design and build solutions … experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform More ❯

infrastructure. The ideal candidate will have strong software development experience with Python and SQL, along with an interest in Docker, Kubernetes, Airflow, and AWS data technologies such as Athena, Redshift, and EMR. You will join a team of over 25 engineers across mobile, web, data, and platform disciplines, emphasizing attention to detail and quality in feature implementation. Minimum Requirements … At least 3 years of relevant data engineering experience Strong Python and SQL skills Experience with dbt Experience with AWS Experience working with columnar databases like Redshift Proficiency in ETL/ELT and data pipeline management Familiarity with Snowplow Experience with data integration from diverse sources Good cross-team communication skills Knowledge of CI/CD practices, unit testing More ❯