Data Engineer, F3 DASH

- 1+ years of data engineering experience
- 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)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you interested in being a part of Amazon’s fastest growing business? Are you excited to work on cutting edge Big Data technologies to help shape the future of Grocery data? If the answer to both these questions is Yes, then come be a part of Amazon Fresh’s Central Data Infrastructure team (DASH). Our vision is to build a world class, centralized and secure data infrastructure for Amazon’s Worldwide Omnichannel Grocery Business. Our mission is to make it extremely convenient for Internal stakeholders, 3P partners and the Grocery engineering community to access timely and accurate data for all their reporting and analytics needs. The scale and the complexity of the data we manage requires constant innovation and pushing the boundaries on what’s possible. This role offers you an opportunity to work on VP level visibility initiatives and make a lasting impression on how grocery data is managed and distributed across the globe.

Key job responsibilities
In this role you will:
- Help build the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems
- Manage AWS resources.
- Collaborate with Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning
- Drive the architecture and technology choices that enable a world-class user experience
- Develop expertise in a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
- Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
- be comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve
- Create extensible designs and easy to maintain solutions with the long term vision in mind
- Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively.





A day in the life
Successful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience. Proficiency in SQL and data modelling allows to create data warehouses and tables conforming to wide range of business needs. Previous ETL and MPP experience enables candidate to build extensible and scalable pipelines capable of processing large amounts of data in a short time, ex. >1T rows within few hours. Wide industry experience helps detect inefficiencies in existing designs and address them with minimal effort.

About the team
F3 DASH is Amazon Fresh central data team responsible for the creation and maintenance of Amazon Grocery’s global data infrastructure. Our mission is to make all of grocery data easily accessible across multiple businesses by all users from a single location without any restrictions for all their reporting and analytics needs. Our long-term vision is to build a best-in-class data infrastructure to support worldwide grocery data to enable timely reporting and automated decision-making with standardized metrics to deliver top-line and bottom-line impact to Amazon’s grocery business.