101 to 125 of 279 Amazon Redshift Jobs

data transformation projects from concept to delivery. Expertise in relational and non-relational databases, including Oracle, MS SQL, and modern cloud-based solutions (Snowflake, Redshift). Deep understanding of SQL, query optimization, and performance tuning. 7+ years of experience in database design and modeling. 5+ years of experience in More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

best practices, coding standards, and development processes Familiarity with debugging and troubleshooting ETL processes. Proficiency in SQL and relational databases (e.g., Oracle, SQL Server, Redshift and Postgrace etc.). Design and implement complex data transformation logic using Informatica PowerCenter transformations Develop, test, and implement ETL workflows and mappings using More ❯

best practices, coding standards, and development processes Familiarity with debugging and troubleshooting ETL processes. Proficiency in SQL and relational databases (e.g., Oracle, SQL Server, Redshift and Postgrace etc.). Design and implement complex data transformation logic using Informatica PowerCenter transformations Develop, test, and implement ETL workflows and mappings using 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 ❯

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 ❯

use cases. Experience in building and deploying live software services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS and service oriented architecture. What you'll get: Full responsibility More ❯

alike. Self-motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions. Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena/Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to More ❯

use cases. Experience in building and deploying live software services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture. What you'll get: Full responsibility 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 ❯

Expertise: 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), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. Solutions: Deliver on … 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 … Experience in working with data lakes, modern data architectures, Lambda type architectures Proficiency in writing and optimizing SQL Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) Ability to write code in Python, Ruby, Scala More ❯

Amazon is a place where data drives most of our decision-making. The Analytics, Operations & Programs (AOP) team is looking for a dynamic data engineer who can be innovative, a strong problem solver, and can lead the implementation of the analytical data infrastructure that will guide decision-making. As … technologies rapidly as changes arise. Key Job Responsibilities Design, implement and support an analytical data infrastructure Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big … you to live at the intersection of data, software, and analytics. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, and Glue. You will drive the development process from design to release, managing data ingestion from heterogeneous data sources, with More ❯

to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks Automate and optimize ETL/ELT processes for structured and … Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise with AWS services (S3, Glue, Lambda, SageMaker, Redshift, etc.) Strong Python and SQL skills; experience with PySpark a bonus Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code (Terraform More ❯

Business Intelligence Engineer, Amazon Logistics Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to … you? If so, Amazon Logistics (AMZL), Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers. Amazon Logistics is … responsible for playing a key role in our Analytics team building out analysis, reporting, automation and visualization dashboards and processes to support our growing Amazon Logistics business in Japan. The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of More ❯

Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan Job ID: Amazon Web Services Japan GK Our AWS Professional Services consultants deliver IT infrastructure and application architecture guidance, lead proof-of-concept projects, perform enterprise portfolio assessments, review operational best practices and conduct skills transfer workshops. AWS consultants … Expertise: 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), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. Solutions: Deliver on … have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and More ❯

building and communication Familiarity with JIRA and Confluence Familiarity with Agile methodologies including Scrum and Kanban Desired Skills: WebFOCUS v9.2 Linux AWS/Cloud Amazon Redshift Understanding of financial, acquisition, and budget data Release management and SDLC Proficiency with Agile methodologies including Scrum and Kanban More ❯

Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog 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 ❯

with top analytical tools that allow for a deep-dive. Our tech stack includes some of the best in the industry, SQL (currently on Amazon Redshift), dbt, Tableau and Python. A day in the life Play a key role in building, optimising and innovating existing processes, setting the More ❯

strategy and implementation. 3+ years of experience managing and evolving data models, working with commercial data warehouses, ETL tools, and data visualization platforms (e.g., Redshift, Looker, Tableau). Strong communication and collaboration skills, with the ability to present technical concepts to non-technical audiences and lead multi-department analytics More ❯

of the build/deployment pipeline. Full stack experience though primarily Java, GraphQL, Spring Framework, and Angular 8+. Secondary focus on wider technology stack (Redshift, Spark, etc.). Application Profiling and Tuning. Work cross-functionally with various teams, creating solutions that deal with large volumes of data. Work with More ❯