Data Engineer, Machine Learning & Engineering, Science and Technology
Description For Data Engineer, Machine Learning & Engineering, Science and Technology
Amazon's ATS Machine Learning & Engineering team is seeking a data-driven and customer-obsessed Data Engineer to join their ranks. As a Data Engineer, you'll be at the forefront of designing, building, and supporting scalable data infrastructure solutions in a complex, large-scale data environment.
Your key responsibilities will include:
- Developing and enhancing AI/ML models through robust data pipeline implementation
- Integrating diverse data sources and making data accessible for various purposes
- Implementing solutions for data aggregation and secure, fast retrieval
- Ensuring data quality meets business needs
- Collaborating with cross-functional teams to understand requirements and develop solutions
- Staying current with emerging data technologies
- Contributing to system scalability, reliability, and efficiency
The role offers exposure to cutting-edge AWS services and encourages professional development. You'll work on:
- Architecting and implementing next-generation Data solutions
- Managing AWS resources (EC2, ECS, Lambda, Redshift, etc.)
- Collaborating with scientists, engineers, and developers to deliver high-quality data architecture and pipelines
- Extracting, transforming, and loading data from various sources
- Creating advanced BI dashboards and applications
- Designing and maintaining metrics, reports, and analyses for key business decisions
The Machine Learning & Engineering team, part of the EU ATS Science and Technology organization, focuses on innovative solutions for Amazon's complex forecasting and planning problems. You'll be joining a diverse team of Data Engineers, Software Development Engineers, Business Intelligence Engineers, and Applied Scientists working on state-of-the-art AI/ML models for Amazon's transportation planning.
This role is perfect for someone with a passion for data, a knack for problem-solving, and a desire to work with cutting-edge technologies in a fast-paced, innovative environment. Join Amazon and help shape the future of machine learning and data engineering!
Responsibilities For Data Engineer, Machine Learning & Engineering, Science and Technology
- Contribute to development and performance improvement of AI/ML models through implementation of robust data pipelines
- Integrate data from diverse sources and make data accessible for reporting, analysis, machine learning, and ad-hoc requests
- Implement solutions to aggregate data and enable fast yet secure data retrieval
- Curate quality data that meets business needs
- Collaborate with cross-functional teams to understand requirements, design technical solutions, and develop pipelines and datasets
- Stay up-to-date on emerging technologies in the data space and evaluate new technologies for potential implementation
- Contribute to system scalability, reliability, and efficiency
- Manage AWS resources including EC2, ECS, Lambda, Redshift, etc.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Make large and/or complex data more accessible, understandable and usable by implementing advanced BI dashboards and applications
- Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions
Requirements For Data Engineer, Machine Learning & Engineering, Science and Technology
- Experience in data engineering
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Knowledge of AWS Infrastructure
Benefits For Data Engineer, Machine Learning & Engineering, Science and Technology
- Professional development opportunities
- Exposure to cutting-edge AWS services
