analytical skills analysing large and complex data sets. - Perform thorough testing and data validation working with REST API's is a bonus. · Experience building data pipeline using AWS Glue or Data Pipeline Step Function Param Store Secrets Manager Code Build/Pipeline CloudFormation Business Intelligence (BI) responsibilities Data Engineers are responsible for building and maintaining Big Data Pipelines using BMW Data
improvement, and accountability within the team. o To build and maintain strategic relationships with internal available. o Collaborates with the leadership team to set development technologies, architectures, coding standards Anticipates and adopts innovations in business-building digital and technology applications. Action oriented information to effectively solve problems. Collaborates - Builds partnerships and works collaboratively with others
improvement, and accountability within the team. o To build and maintain strategic relationships with internal available. o Collaborates with the leadership team to set development technologies, architectures, coding standards Anticipates and adopts innovations in business-building digital and technology applications. Action oriented information to effectively solve problems. Collaborates - Builds partnerships and works collaboratively with others
languages PostresSQL Ability to analyze large data sets. Write comprehensive reports. Relational and time findings and recommendations to client. Manage build and/or improve on the reporting. Profile Degree process contextual Ability to analyse large data sets. Write comprehensive reports. Relational and time findings and recommendations to client. Manage build and/or improve on the reporting. Data Requirements
languages PostresSQL Ability to analyze large data sets. Write comprehensive reports. Relational and time findings and recommendations to client. Manage build and/or improve on the reporting. Profile Degree process contextual Ability to analyse large data sets. Write comprehensive reports. Relational and time findings and recommendations to client. Manage build and/or improve on the reporting. Data Requirements
you will own stream line processes and work to build solid programs to support Amazon sellers and customers communication channels and drive initiatives that set sellers up for success on Amazon. You will partner key features in our fulfillment program. You will Build E2E knowledge of Fulfillment, seller pain points needs are met Day 1 Partner with stakeholders to build and execute initiatives and roadmaps to achieve Partner with teams to secure resources, scope efforts, set project priorities and milestones, and drive delivery
you will own stream line processes and work to build solid programs to support Amazon sellers and customers communication channels and drive initiatives that set sellers up for success on Amazon. You will partner key features in our fulfillment program. You will Build E2E knowledge of Fulfillment, seller pain points needs are met Day 1 Partner with stakeholders to build and execute initiatives and roadmaps to achieve Partner with teams to secure resources, scope efforts, set project priorities and milestones, and drive delivery
platform operation and facilitate client capability building. Translate use cases into robust requirements technology strengths. Document deployment conclusions and set the general direction for subsequent work streams Prepare training materials for client capability building and platform usability, administering web-based
solutions. Your responsibilities will encompass building, maintaining, and optimizing our infrastructure improvement. Infrastructure Management: Design, build, and manage scalable and resilient infrastructure and reliable deployments. Monitoring and Alerting: Set up monitoring systems and configure alerts to proactively
needs to technical specifications and designing, building and deploying BI solutions (e.g., data warehousing reports for requested projects . Responsibilities: Build enterprise scalable, complex data visualizations databases (SQL/PLSQL/Hive) and leveraging large data sets within a data warehouse (Hadoop, Oracle, MySQL)