Senior Data Engineer, Amazon
Items and Offers Platform
$139.1-240.5k
Office located in Sunnyvale, CA
The largest online retailer and technology provider
Job no longer available
The largest online retailer and technology provider
1001+ employees
Job no longer available
$139.1-240.5k
Office located in Sunnyvale, CA
1001+ employees
Company mission
To be Earth's most customer-centric company.
Role
Who you are
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience mentoring team members on best practices
- Experience in at least one modern scripting or programming language, such as Python, Java or Scala
- Experience in dimensional data modeling and schema design
- Experience with diverse data formats: Parquet, JSON, big data formats, and table formats like Apache Iceberg
Desirable
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with BDT toolsets like Cradle, DataCraft, Andes and other products
- Experience in managing data at scale (hundreds of terabyte size datasets)
What the job involves
- As a Sr. Data Engineer in the CDW team, you will own complex big data pipelines and data solutions to provide highly availability datasets
- You will work with large data sets (in petabytes) and transformations involving multiple data sources to enable downstream analytics for our stakeholders
- You will build and manage large datasets to help teams drive data-driven decisions through analytical and business metrics dashboards
- The Data Engineer will play a crucial role in designing, developing, and maintaining efficient and scalable data pipelines, data models, and data warehousing solutions
- This position will be responsible for ensuring data integrity, quality, and availability across the organization, enabling data-driven decision-making and supporting business analytics and insight initiatives
- Define and optimize data models for rapid analytics on catalog product data, improving freshness and LLM consumption while reducing costs and undifferentiated work
- Automate metrics generation to support S-team goals, including pack hierarchy scaling and standard KPIs, while leading strategy for scaling self-serve analysis and dashboards
- Mentor engineers, establish best practices in data engineering and operational excellence, and stay current with latest technologies to recommend innovations
- Conduct comprehensive data discovery, profiling, and performance analysis for various sources, designing effective models for Page0, entitlement, propensity, and other relevant data
- Collaborate with stakeholders to translate requirements into optimized data structures, while establishing and enforcing data governance policies to maintain quality, consistency, and security
- Take a long-term view of data solutions, proactively addressing architecture deficiencies and making appropriate trade-offs for usability, security, maintainability, scalability, and extensibility
- Resolve root causes of endemic problems, unblocking innovation for related teams, and build consensus with stakeholders to influence and determine the best path forward
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience mentoring team members on best practices
- Experience in at least one modern scripting or programming language, such as Python, Java or Scala
- Experience in dimensional data modeling and schema design
- Experience with diverse data formats: Parquet, JSON, big data formats, and table formats like Apache Iceberg
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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