Data Engineer, Amazon
BADS
The largest online retailer and technology provider
Job no longer available
The largest online retailer and technology provider
1001+ employees
Job no longer available
1001+ employees
Company mission
To be Earth's most customer-centric company.
Role
Who you are
- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Desirable
- Experience with Apache Spark / Elastic Map Reduce
- Experience with distributed systems as it pertains to data storage and computing
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
What the job involves
- We are looking for an experienced, self-driven, analytical, strategic Data Engineer with a strong skill set in Python and solid background with systems development
- In this role, you will be working in a large, complex data warehouse and automation environment
- You should be passionate about coding optimized and efficient solutions, working with disparate data sources and bringing information together to answer critical business questions
- You should have deep expertise in the creation and management of data automation and the proven ability to translate data into meaningful insights through collaboration with analysts and engineers
- In this role, you will share ownership of end-to-end development of data engineering solutions to answer complex questions and you’ll play an integral role in strategic decision-making
- The right candidate will possess excellent technical capability, be able to automate data ingestion at scale, create solutions within the AWS development platform, onboard and integrate new and existing datasets, and be able to collaborate to analyze data that will answer those questions
- In this role, you will have the opportunity to display and develop your skills in the following areas:
- Design, develop, and maintain Python-based automation solutions leveraging AWS technologies such as Redshift, DynamoDB, Athena, Glue, S3 and Kinesis
- Prioritize and deliver structured and ad-hoc data automation projects, seamlessly integrating CI/CD practices
- Architect and manage scalable data warehouse solutions on AWS, ensuring high availability and performance
- Build and maintain orchestration workflows using Amazon Managed Workflows for Apache Airflow (MWAA)
- Troubleshoot and support new and existing data pipelines across Development, Beta, and Production environments, adhering to industry best practices
- Collect, analyze, and present actionable data insights to inform operational and logistics strategies
- We thrive on solving challenging problems to innovate for our customers
- By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment
- Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment
- Create and manage python-based automation solutions using AWS technologies
- Prioritize and deliver structured and ad-hoc data automation projects
- Manage and automate enterprise scale data warehouse solution within AWS
Our take
Amazon is the world's largest online retailer, and is well-known for its disruption of well-established industries. The company is present in numerous verticals, including cloud computing with Amazon Web Services, AI with its range of Alexa devices and a global marketplace more commonly referred to as 'the everything store'. Acquisitions include Ring, Twitch, Whole Foods Market, and IMDb.
More recently, Amazon has been focused on leading the "third wave in digital advertising". Many businesses are now shifting ad dollars to retailers, which before would have been spent with online media platforms. Amazon's seen great success in the space, with its revenue from advertising now higher than its Amazon Prime membership scheme, audiobooks and digital music combined. This growth is particularly impressive considering its digital ad rivals (like Snap, Alphabet, and Meta) have suffered declines due to wider macroeconomic factors and Apple's iOS privacy changes.
Despite its dominant market position, Amazon will continue to be challenged over the next decade, including sustaining AWS's cloud dominance in the face of Google and Microsoft. On top of this, the company's e-commerce division is facing profitability problems despite its 2023 post-IPO debt funding of 8 billion. It will need to find new ways to stay above their competitors.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Company HQ
South Lake Union, Seattle, WA
Leadership
Jeff Bezos
(Founder & Executive Chairman)Jeff is an American business magnate, media proprietor, and investor. As well as founding Amazon, Jeff founded Blue Origin, an aerospace manufacturer and sub-orbital spaceflight services company and also owns The Washington Post.
Andy Jassy
(President & CEO)Joined Amazon as a Marketing Manager in 1997. Developed AWS with Jeff Bezos, and became CEO of Amazon in 2021.
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