51 to 75 of 1,023 Permanent Amazon Redshift Jobs

architectures. Strong knowledge of cloud platforms (AWS, GCP, Azure) and related tools (e.g., Kubernetes, Terraform, CloudFormation). Experience with modern data platforms, including data lakes, data warehouses (e.g., Snowflake, Redshift, BigQuery), and real-time data processing. Proficiency in data modelling, ETL/ELT pipelines, and data integration tools. Strong understanding of security, compliance, and governance for data and cloud More ❯

broad range of problems using your technical skills Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data … technologies such as Hadoop, Spark, or Hive Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow Proficiency in Python and at least one other programming language such as Java, or Scala Willingness to mentor more junior members of the team Strong analytical and problem-solving skills with the ability to work More ❯

Hands-on experience with AWS Lambda for serverless computing in data workflows. Knowledge of AWS Glue Crawler Kinesis RDS for batch/real-time data streaming Familiarity with AWS Redshift for large-scale data warehousing and analytics. Skillful in implementing data lakes using AWS Lake Formation for efficient storage and retrieval of diverse datasets. Experience with AWS Data Pipeline … solutions. Hands-on experience with AWS DMS (Database Migration Service) for seamless data migration between different databases. Knowledge of AWS Athena for interactive query processing on data stored in Amazon S3. Experience with AWS AppSync for building scalable and secure GraphQL APIs. Qualifications: A minimum of 10 years of experience in data engineering or a related field. Strong background More ❯

business usable analytics. Input into high level design and responsibility for low level design • Hands on development of data pipelines using Step functions, Glue, Python/Pyspark and DBT(Redshift). Thorough and high-quality automated Unit testing • Creation of accurate, insightful & informative technical documentation • Performance analysis & improvement Handover and upskill of Operational teams Protecting the data entrusted to … project requirements and translating them into technical deliverables Experience in developing Data solution with the following technical skills: Experience working with data, ideally in the Analytics space SQL, ideally Redshift or Snowflake • DevOps Pipelines or CI/CD (ideally AWS) – build, maintain or run. Experience with the following would also be beneficial: Working within an Agile delivery framework Lambda … Functions AWS Database Experience - RDS/Dynamo DB/Redshift Though these are the basics written down, we will principally be recruiting for energy, values and commitment – both to Two Circles and to your career. Our recruitment process will be honest & thorough, and so will our roles. In return, we can offer honesty, integrity, and the chance to progress More ❯

Develop robust Python code for building, maintaining, and orchestrating data pipelines Create Airflow Operators to promote component reusability across the data pipelines. Implement and optimize cloud database solutions (BigQuery, Redshift) Ensure data quality through implementation of testing frameworks and monitoring tools Ensure the technical solutions has proper monitoring and alerting Project Delivery: Lead technical implementation for key initiatives including … Expert in SQL (Postgres, Cloud SQL) with proven ability to optimize complex queries Strong Python development experience for data pipeline creation and automation Experience with cloud data warehouses (BigQuery, Redshift) Proficiency with workflow orchestration tools, particularly Airflow Experience with Terraform or similar IaC tools for infrastructure management Required Experience: 8+ years of experience in data engineering or related roles More ❯

preferred. Experience with data warehouse design and modelling, including conceptual, logical, physical, and dimensional modelling techniques. Knowledge of cloud data warehouse technologies such as Snowflake (preferred), Google BigQuery, AWS Redshift, or Azure Synapse, and familiarity with GCP, AWS, or Azure services like cloud storage, containerisation, orchestration, and security. Experience working in Agile environments, using Scrum or Kanban, with strong More ❯

data architectures and implement enterprise-grade data solutions, fostering a culture of innovation, collaboration, and continuous learning. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS (Redshift, Glue, Athena, Lambda, S3). Lead and mentor a team of Data Engineers, guiding their technical work and professional growth. Create technical documentation such as architecture diagrams, test plans More ❯

At least 10 years of experience in data engineering, data architecture, or software engineering. Proficiency in Python and SQL Proficient in AWS data services such as S3, Glue, Athena, Redshift, EMR, Kinesis, Lambda, etc. Strong knowledge of data lake concepts, architectures, and design patterns. Experience in building and managing data pipelines using tools such as Airflow, Spark, Kinesis etc. More ❯

architectures. Strong knowledge of cloud platforms (AWS, GCP, Azure) and related tools (e.g., Kubernetes, Terraform, CloudFormation). Experience with modern data platforms, including data lakes, data warehouses (e.g., Snowflake, Redshift, BigQuery), and real-time data processing. Proficiency in data modeling, ETL/ELT pipelines, and data integration tools. Strong understanding of security, compliance, and governance for data and cloud More ❯

journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯

journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯

journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯

journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯

journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯

journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯

Engineer, with a track record of designing and implementing data solutions. Proficiency in programming languages such as Python, Java, or Scala. Strong experience with data warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data governance and security best practices. More ❯

Proprietary or third-party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. More ❯

. Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD 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 ❯

Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality 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 ❯

Business Intelligence Engineer - Locations considered: London, Paris, Madrid, Milan, Munich, Berlin, EU Heavy and Bulky Services Job ID: Amazon EU SARL (UK Branch) Locations considered: London, Paris, Madrid, Milan, Munich, Berlin Are you interested in building data warehouse and data lake solutions to shape the analytical backbone of the EU Heavy Bulky & Services team? We are hiring a Business … data engineering mentality. We seek individuals that enjoy to collaborate across stakeholders and that bring excellent statistical and analytical abilities to the team. Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping and delivery experience for our specific product portfolio. We are looking for a Business Intelligence Engineer to support … tradeoffs. - Propose and prioritize changes to reporting, create additional metrics, own the data presented. - Build an expert understanding of technologies and techniques required to build analytical solutions in the Amazon data eco-system. - Learn new systems, tools, and industry best practices to help design new studies and build new tools. A day in the life We dedicate 75% of More ❯

Develop, optimize, and maintain data ingest flows using Apache Kafka, Apache Nifi and MySQL/PostGreSQL Develop within the components in the AWS cloud platform using services such as RedShift, SageMaker, API Gateway, QuickSight, and Athena Communicate with data owners to set up and ensure configuration parameters Document SOP related to streaming configuration, batch configuration or API management depending … and problem-solving skills Experience in instituting data observability solutions using tools such as Grafana, Splunk, AWS CloudWatch, Kibana, etc. Experience in container technologies such as Docker, Kubernetes, and Amazon EKS Qualifications: Ability to obtain an Active Secret clearance or higher Bachelors Degree in Computer Science, Engineering, or other technical discipline required, OR a minimum of 8 years equivalent More ❯

broad range of problems using your technical skills Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data … technologies such as Hadoop, Spark, or Hive Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow Proficiency in Python and at least one other programming language such as Java, or Scala Willingness to mentor more junior members of the team Strong analytical and problem-solving skills with the ability to work More ❯

/hr W2 Responsibilities: Develop, optimize, and maintain data ingestion flows using Apache Kafka, Apache Nifi, and MySQL/PostgreSQL. Develop within AWS cloud services such as RedShift, SageMaker, API Gateway, QuickSight, and Athena. Coordinate with data owners to ensure proper configuration. Document SOPs related to streaming, batch configuration, or API management. Record details of data ingestion activities for … organizational levels. Analytical, organizational, and problem-solving skills. Experience with data observability tools like Grafana, Splunk, AWS CloudWatch, Kibana, etc. Knowledge of container technologies such as Docker, Kubernetes, and Amazon EKS. Education Requirements: Bachelor’s Degree in Computer Science, Engineering, or related field, or at least 8 years of equivalent work experience. 8+ years of IT data/system More ❯