1 to 25 of 310 Permanent Amazon Redshift Jobs

the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … Key job responsibilities Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight. Solutions - Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery - Engagements include projects proving the use More ❯

and reliable ETL (Extract, Transform, Load) pipelines from various data sources to target destinations using AWS services. Utilize AWS services such as AWS Glue, Amazon Kinesis, and Amazon EMR to build and manage efficient data ingestion and processing workflows. Transform raw data into usable formats, applying programming concepts … practices to ensure data quality and consistency. Design and implement effective data models and select appropriate data storage solutions based on business requirements, including Amazon S3, Amazon Redshift, and/or Amazon DynamoDB. Establish and maintain a comprehensive data catalog, documenting data schemas and managing data … A minimum of 4 years of professional experience in data engineering or data architecture. At least 2 years of hands-on experience working with Amazon Web Services (AWS). Proven experience in setting up and maintaining ETL pipelines using AWS services like AWS Glue, Amazon Kinesis, and Amazon More ❯

that address complex business requirements and drive decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience … and Scala. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both More ❯

Engineer to join a leading Financial Services company in Watford. The role requires a candidate with a strong background in data engineering, particularly with Amazon Redshift and AWS Glue, which are essential for this position. The role offers hybrid working arrangements. Salary Range: Between £80,000 and … experience. Key Skills and Experience At least 4 years of experience as a Data Engineer or in a similar role. Extensive experience with SQL, Amazon Redshift, and ideally MySQL. Experience with visualization tools, preferably Amazon QuickSight. Proficiency with AWS Glue and Python scripting for ETL processes. Strong … members. Practical experience with JIRA and Confluence. Knowledge of SAP Business Objects is a plus but not necessary, as the company is migrating to Redshift and QuickSight. Our client prides itself on hiring top industry talent and offers a comprehensive benefits package, including private medical healthcare (Vitality), subsidized dental More ❯

for an experienced Senior Data Engineer to start ASAP for a leading Financial Services client in Watford, ideally you come from a similar background. Amazon Redshift and AWS Glue are essential for this role - You must have experience of these in a commerical setting. Hybrid working Salary - Between … Depending on experience Key skills/experience • 4+ years of experience as a Data Engineer or on a similar role. • Extensive experience with SQL, Amazon Redshift & ideally MySQL. • Extensive experience with visualisation tools, ideally with Amazon QuickSight. • Experience with AWS Glue and the ability to write Python … with JIRA & Confluence. • Knowledge of SAP Business Objects would be helpful but not necessary - currently in use but in the process of migrating to Redshift & QuickSight. Our clients pride themselves on hiring the best in the industry, in return they offer a salary of somewhere between £80,000 to More ❯

Marketing Business Analyst, Amazon Publishing Job ID: Amazon UK Services Ltd. Amazon Publishing is seeking a data-driven, author- and reader-obsessed leader to fill the position of Business Analyst. The successful candidate will be thoughtful, analytical, and have a demonstrated ability to effectively influence the decisions … to deliver business recommendations are key. The role operates in a fast-paced, global, results-oriented environment, and provides decision support and advice for Amazon Publishing leaders. Amazon Publishing is the full-service publishing arm of Amazon. We publish emerging, bestselling and critically-acclaimed authors in digital, print … concept to completion Experience using data and metrics to measure impact and determine improvements Experience in marketing or marketing research PREFERRED QUALIFICATIONS Experience in Amazon Redshift and other AWS technologies Experience with Tableau, Quicksight or a similar data visualization tool Analytical mindset and ability to see the big More ❯

Associate Data Analytics Consultant, A2C Job ID: Amazon Web Services Korea LLC Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop experience? Do you like to solve the most complex and high scale data challenges in the world today? Would you like a … career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? At Amazon Web Services (AWS), we're hiring highly technical cloud architects to collaborate with our customers and partners on key engagements. Our consultants will develop … responsibilities - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. - Deliver More ❯

SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3-the building blocks of cloud mastery. Your Philosophy : Continuous integration/deployments, (CI/CD) automation, rigorous code More ❯

libraries (e.g., Pandas, NumPy). Familiarity with data storage technologies (e.g., PostgreSQL, MongoDB, Hadoop). Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift) is a plus. Knowledge of ETL processes and tools (e.g., Apache Airflow, Talend). Strong analytical and problem-solving skills with attention to detail. More ❯

from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data … a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data More ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data More ❯

Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, and engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's most … measurably effective marketing organization. This cuts across all of the investments we do across various verticals of A.in, Prime, Fashion, Fresh, Pay, etc. At Amazon, you will be working in one of the world's largest and most complex data environments. You will be part of a team that … will work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the More ❯

an Agile Software Development environment. • Demonstrated team-player enabling joint success and a continuous learner. Preferred Qualifications • Experience with data platforms (e.g., Databricks, Snowflake, Amazon Redshift, Palantir, etc.) and technologies for processing large datasets. • Familiarity with distributed platforms such as Kubernetes or those offered by cloud providers (AWS More ❯

and building high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience with Terraform. Hands-on experience with Python in a More ❯

Business Intelligence Engineer, Finance Operations, Global Data & Analytics (GDA) team Job ID: Amazon/Slovakia/s.r.o. The Business Intelligence Engineer will be part of the high-visibility, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. The GDA team seeks an exceptionally talented and focused Business … Intelligence Engineer who can build reporting objects and use analytics to influence business outcomes. The role involves developing analytical solutions to empower Amazon's Accounts Payable and Receivable teams to operate at scale and resolve process defects. The engineer will navigate ambiguity to rapidly acquire knowledge of Amazon … compelling business cases. Strong SQL skills (intermediate/expert) are essential. About the team Global Data Analytics (GDA) manages all Finance Operations reporting for Amazon's global businesses. GDA aims to be a trusted, business-focused analytics partner, providing timely data, insights, and applying scientific methods to large-scale More ❯

should be able to show strong capability in their core areas: Cloud Data Platforms Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake, Azure SQL Amazon Redshift, AWS Athena, AWS Glue Google BigQuery, Google Cloud Storage, Dataproc Artificial Intelligence & Machine Learning Azure OpenAI, Azure Machine Learning Studio, Azure AI … Foundry AWS SageMaker, Amazon Bedrock Google Vertex AI, TensorFlow, scikit-learn, Hugging Face Data Engineering & Big Data Azure Data Factory, Azure Databricks, Apache Spark, Delta Lake AWS Glue ETL, AWS EMR Google Dataflow, Apache Beam Business Intelligence & Analytics Power BI, Amazon QuickSight, Looker Studio Embedded analytics and interactive More ❯

teach - collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Databases - RDS/Aurora/DynamoDB/Redshift, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), AWS Identity and … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. 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 … Oracle, HP, SAP etc. Direct people management experience leading a team of at least 20 or manager of manager experience in a consulting practice. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯

multiple internal process, tools and systems into unified data architecture using AWS Cloud technologies. You will be using the best of available tools, including Amazon Redshift, EC2, Lambda, DynamoDB, and Elastic Search. You will be responsible for building augmented analytical solution to drive business outcome through seamless integration … Knowledge of AWS Infrastructure. - Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯

workflows. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience with data tools: Hadoop, Spark, Kafka, etc. Code versioning (Github integration and automation). Experience with scripting languages such as More ❯

sources. Developing and maintaining ETL processes using SQL and Python. Building aggregated Metrics Dashboards. Working with AWS or Azure Big Data tools (Glue, Athena, Redshift, Kinesis, Data bricks, azure analytics, Data explorer). Using cloud-based storage and functions (S3, Blob, Lambda, Azure Functions). Applying data engineering methodologies More ❯

CD pipelines for Kubernetes deployments. Qualifications Experienced AWS DevOps engineer Proficient with AWS services like S3, Data Lakes, Glue, IAM, Data Pipelines, Lambda, QuickSight, Redshift, Fargate Deep understanding of AWS services, especially EKS and data-related services (S3, RDS Postgres) Strong knowledge of containerization technologies (Docker, Kubernetes) Experience with More ❯

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 More ❯