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- Tasks: Join our AIM team to analyse data and solve real-world problems for Amazon Retail.
- Company: Amazon is a global leader in e-commerce, dedicated to enhancing customer experience.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant company culture.
- Why this job: Make a real impact by improving inventory efficiency and customer satisfaction while having fun.
- Qualifications: 3+ years in data engineering and 4+ years of SQL experience required.
- Other info: Work with cutting-edge technologies and collaborate with diverse teams.
The predicted salary is between 43200 - 72000 £ per year.
SCOT\’s Automated Inventory Management (AIM) team seeks talented individuals passionate about solving complex problems and driving impactful business decisions for our executives. The AIM team owns critical Tier 1 metrics for Amazon Retail stores, providing key insights to improve store health monitoring. We focus on enhancing selection, product availability, inventory efficiency, and inventory readiness to fulfill customer orders (FastTrack) while enabling accelerated delivery Speed & Fulfillment Worldwide. This improves both Customer Experience (CX) and Long-Term Free Cash Flow (LTFCF) outcomes. Our approach involves creating standardized, scalable, and automated systems and tools to identify and reduce supply chain defects in our systems and inputs, while driving operational leverage and scaling.
As a Data Engineer, you will analyze large-scale business data, solve real-world problems, and develop metrics and business cases to delight our customers worldwide. You will work closely with Scientists, Engineers, and Product Managers to build scalable, high-impact products, architect data pipelines, and transform data into actionable insights to manage business at scale. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you.
About the team
Supply Chain Optimization Technologies (SCOT) is the name of a complex group of systems designed to make the best decisions when it comes to forecasting, buying, placing, and shipping inventory. Functionally these teams work together to drive in-stock, drive placement, drive inventory removal and manage the customer experience.
BASIC QUALIFICATIONS
– 3+ years of data engineering experience
– 4+ years of SQL experience
– Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
– Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
– Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
– Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
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 the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Data Engineer II, SCOT - AIM employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer II, SCOT - AIM
✨Tip Number 1
Familiarise yourself with the specific AWS technologies mentioned in the job description, such as Redshift and S3. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with data modelling and ETL pipelines in detail. Be ready to share examples of how you've solved complex data challenges in previous roles, as this will demonstrate your problem-solving skills.
✨Tip Number 3
Network with current or former employees of the SCOT team on platforms like LinkedIn. Engaging with them can provide insights into the team culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Stay updated on the latest trends in big data technologies like Hadoop and Spark. Being able to discuss recent advancements or case studies related to these technologies can showcase your passion and knowledge in the field.
We think you need these skills to ace Data Engineer II, SCOT - AIM
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Engineer II position. Familiarise yourself with the key metrics and goals of the SCOT AIM team to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your data engineering experience, particularly your SQL skills and any work with ETL pipelines. Mention specific projects where you have used AWS technologies or big data tools, as these are highly relevant to the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for solving complex problems and your ability to drive impactful business decisions. Use examples from your past work to illustrate how you can contribute to the SCOT AIM team's objectives.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, data modelling, and ETL pipelines in detail. Highlight specific projects where you successfully implemented these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Familiarise Yourself with AWS Technologies
Since the role prefers candidates with experience in AWS technologies, make sure to brush up on tools like Redshift, S3, and Lambda. Be ready to explain how you've used these technologies in past projects or how you would apply them in this role.
✨Understand the Business Impact
The AIM team focuses on improving customer experience and long-term cash flow. Prepare to discuss how your work as a Data Engineer can directly impact business decisions and outcomes. Think of examples where your data insights led to significant improvements.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your problem-solving abilities. Be ready to walk through your thought process when tackling complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
