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Unleash Your Potential in the World of Mobile AI - Join Alexa Mobile’s Trailblazing Team!

Imagine a world where your smartphone becomes a gateway to limitless possibilities, empowering you to achieve more than ever before. At the forefront of this revolution is the Alexa Mobile team, and we’re seeking talented Data Engineers to help us craft that extraordinary vision.

As a Data Engineer, you’ll play a pivotal role in shaping the future of Alexa’s mobile experience. You’ll collaborate with Product Managers, BI Engineers, and Data Scientists to build cutting-edge data products that unlock invaluable insights and drive strategic decision-making. Your contributions will directly impact Alexa’s ability to become the preferred mobile assistant on iOS and Android devices, enabling users to maximize productivity and lead a better quality life.

In this exhilarating role, you’ll:

Architect and implement a scalable, modern data stack to support the rapid growth and analytical needs of our dynamic business.

Partner with cross-functional teams to deliver high-quality data products that empower stakeholders to ask and answer complex questions with ease.

Leverage your expertise in data engineering to optimize data pipelines, ensuring efficient data flow and reliable analytics.

Embrace innovation and continuously explore new technologies and methodologies to push the boundaries of what’s possible in the realm of mobile AI.

If you’re passionate about transforming the way people interact with their mobile devices and eager to help shape the future of AI, we invite you to join our team. Together, we’ll help the business redefine the boundaries of mobile intelligence and create an extraordinary experience that empowers users to achieve more than they ever thought possible.

Key job responsibilities

• Work with the product and development teams within Alexa Mobile to understand the product vision and requirements.

• Work with Product Managers, BI engineers and Software Engineers to design, implement and support high quality data products.

• Partner with other teams across Alexa to ingest relevant datasets into the Alexa Mobile BI data-warehouse.

• Collaborate with other data engineers within the team to build a data platform that is self-service and possesses key capabilities like data discovery, data lineage, proactive data monitoring and security/compliance monitoring.

• Leverage and manage AWS services like Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake etc..

• Conduct workshops and lunch-n-learn sessions to educate customers on product capabilities.

About the team

The Alexa Mobile BI team is the BI/Analytics team that supports the Alexa Mobile business. We are responsible for building data products (datasets, dashboards, ML models) and the underlying data platform, that enable the business to make informed decisions.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with SQL

• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

• Experience with Apache Spark / Elastic Map Reduce

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)

• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam

• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy

• Experience providing technical leadership and mentoring other engineers on best practices pertaining to data engineering

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/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.