76 to 100 of 1,024 Permanent Amazon Redshift Jobs

data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and create actionable insights to enhance … of experience in data engineering roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and More ❯

EventBridge, SNS, SQS, and DynamoDB, and will be expected to navigate and manage data systems with a high degree of rigour and compliance. Familiarity with additional tools such as Redshift, RDS, and QuickSight will be advantageous during ongoing migrations from legacy environments. Strong CI/CD expertise, especially using GitHub Actions, and hands-on experience with Infrastructure as Code … a passion for engineering excellence, a quality-first mindset, and a strong interest in mentoring others and enabling their growth. Additional strengths that would be beneficial include experience with Redshift, strong SQL capabilities, working knowledge of DynamoDB Streams, and an awareness of data privacy and regulatory standards within financial services. InterQuest Group is acting as an employment agency for More ❯

Drive the adoption of modern data engineering best practices, including CI/CD, observability, versioning, and testing in data workflows Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration (Airflow, Step Functions) capabilities Lead efforts around data governance/cataloging, compliance, and security, ensuring data is trustworthy and well-managed Requirements Essential skills & experience … role, with responsibility for people management and project delivery Strong hands-on experience in Python and SQL (bonus: Spark and DBT) Good familiarity with AWS services (e.g. Lambda, S3, Redshift, Glue - Databricks is a plus) Track record of designing and implementing scalable data platforms and ETL/ELT pipelines Knowledge of data warehousing and data lake architectures, and modern More ❯

and transformation workflows Model and maintain curated data layers to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning, SLAs, data contracts, and quality … Essential: 3+ years of experience as a Data Engineer, with a strong focus on data warehousing and data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional More ❯

doing Architect and implement scalable data pipelines and ETL processes using AWS tools such as Glue, Lambda, and Step Functions. Develop and manage data warehousing solutions with services like Redshift or S3-based data lakes. Collaborate with cross-functional teams to understand data requirements and optimise data workflows. Maintain data integrity and security while ensuring best practices for data … solutions. What you’ll need 7+ years of experience as a data engineer, specialising in AWS data pipelines and warehousing. Expertise with AWS services such as Glue, Lambda, S3, Redshift, and Step Functions. Strong knowledge of data modelling, ETL/ELT frameworks, and data warehousing best practices. Experience with data pipeline orchestration and automation. Excellent problem-solving skills and More ❯

and transformation workflows Model and maintain curated data layers to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning, SLAs, data contracts, and quality … For 3+ years of experience as a Data Engineer, with a strong focus on data warehousing and data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional More ❯

ensuring data quality and integrity. Stay up to date with the latest trends and best practices in data engineering and cloud technologies, especially AWS services such as S3, Lambda, Redshift, and Glue. Qualifications: Bachelor’s degree in computer science, engineering, or a related field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. More ❯

engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse 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 ❯

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 ❯

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 ❯

building pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure DevOps or similar) Experience working More ❯

engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and More ❯

Proficient in SQL. Familiarity with one scripting language, preferably Python. Experience with Apache Airflow & Apache Spark. Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR (Elastic MapReduce), EKS, RDS (Relational Database Services) and Lambda. Nice to have: Understanding of ML Models. Understanding of containerisation and orchestration technologies like Docker/Kubernetes. Relevant knowledge More ❯

Experience deploying via CI/CD platforms like Github Actions or Jenkins. Proficiency with distributed frameworks like Apache Spark. Experience with cloud platforms (AWS, Azure, GCP) and services (S3, Redshift, BigQuery). Knowledge of data modelling, database systems, and SQL optimisation. Other key criteria Knowledge of UK broadcast industry & broadcast/OTT advertising market. Understanding of digital marketing and More ❯

best practices and aligned with the client's enterprise strategy. Proven experience as a Data Solution Architect, with expertise in various AWS services such as EC2, S3, Aurora, DynamoDB, Redshift, Lambda, Glue, Athena, Quicksight, and Sagemaker, among others. Proficiency in Snowflake's architecture and familiarity with its features, including Snowpipe, Streams, and Tasks for real-time data processing. Additionally More ❯

Warehousing(highly desirable): Experience working on a data warehouse solution irrespective of underlying technology. Experience using cloud data warehouse technology would also be beneficial - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse. Data Pipeline(highly desirable): Demonstrable experience working with data from a wide variety of data sources including different database platforms, flat files, API’s and event More ❯

building and maintaining data pipelines using tools like Airflow, dbt, or similar Proven success in managing structured and unstructured data at scale Familiarity with cloud data platforms (e.g. AWS Redshift, Google BigQuery, Snowflake) Understanding of data modeling and schema design Experience integrating APIs and managing streaming/batch data flows Demonstrated ability to support ML/AI workflows with More ❯

thought leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with More ❯

NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data More ❯

Business Intelligence Engineer, Japan Operations The Amazon ARTS (APEX-RoW Technology Solutions) team is looking for a Business Intelligence Engineer to optimize in one of the world's largest and most complex data warehouse environments. You are expected being passionate about working with huge database and someone who loves to bring datasets together to create dashboards and business reports. … programs with limited guide from manager: 1) optimize user's data pipeline and SQL and database infrastructure across RoW; 2) help business stakeholders to provide data pipeline solutions with Amazon/ARTS internal tech products and AWS services (e.g. Redshift, SageMaker, EMR, ETL tools, data lake); 3) develop scripts for maintenance automation; 4) execute the tech implementation with … a clear milestone planning and lead it to smooth launch; 5) help business stakeholders ramp up with team internal and Amazon tech products (e.g., Redshift Cluster, ETL tools, query performance) A day in the life An average day may look like: - Attend daily standup to give status updates - Monitor, maintain and optimize the team data infra health and More ❯

transform, and load (ETL) data 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 models to support analytical and … Computer Science, Data Engineering, or 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 modeling, data warehousing, and data More ❯

ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. The goal of the eCS Data Engineering and Analytics team is to provide high quality, on-time reports to Amazon business teams, enabling them to expand … globally at scale. Our team has a direct impact on retail CX, a key component that runs our Amazon fly wheel. As a Data Engineer, you will own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business … as service which will have an immediate influence on day-to-day decision making. Key job responsibilities Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (DataNet, Cradle, Quick Sight etc.) Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness More ❯

Engineer 6 month Northampton - hybrid £450 per day inside ir35 - Umbrella only Job Description: 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL … processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating More ❯

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 objectives. You'll be a key player in driving customer success … the ability to explain technical concepts to both technical and non-technical audiences Experience in non-relational databases – DynamoDB, Mongo, etc. Experience in MPP data warehouse solutions such as Redshift, Greenplum, Snowflake etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during … for the interview or onboarding process, please visit here for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity More ❯