Data Engineer II, FO Data Engineering (SCDE)

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We are seeking a Data Engineer to join our team. Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. Your work will have an immediate influence on day-to-day decision making at Amazon.com.

As an Amazon Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. We maintain one of the largest data marts in Amazon as well as work on Business Intelligence reporting and dashboarding solutions that are used by thousands of users world-wide.

Our team is responsible for timely delivery of mission critical analytical reports and metrics that are viewed at the highest levels in the organization.
- You should have deep expertise in the design, creation, management and business use of extremely large datasets.
- You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.
- You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications.
- You should be able to work with business customers in a fast paced environment understanding the business requirements and implementing reporting solutions.
- Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.

Key job responsibilities
- This role requires an Engineer with 4+ years experience in building data solutions, combined with both consulting and hands-on expertise.
- The position involves helping to build new and maintain existing data warehouse implementations, developing tools to facilitate data integration, identifying and architecting appropriate storage technologies, executing projects to deliver high-quality data pipelines on time, defining continuous improvement processes, driving technology direction, and effectively leading the data engineering team.
- You will work with multiple internal teams who need support in managing backend data solutions.
- Using your deep technical expertise, strong relationship-building skills, and documentation abilities, you will create technical content, provide consultation to customers, and gather feedback to drive the AWS analytic support offering.
- As the voice of the customer, you will work closely with data product managers and engineering teams to help design and deliver new features and product improvements that address critical customer challenges.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
A typical day on our team involves collaborating with other engineers to deploy new data solutions through our large automated systems while providing operational support for your newly deployed software. You will seek out innovative approaches to automate fixes for operational issues, leverage AWS services to solve design problems, and engage with other internal teams to integrate your applications with theirs.

You'll be part of a world-class team in an inclusive environment that maintains the entrepreneurial feel of a startup. This is an opportunity to operate and engineer systems on a massive scale and to gain top-notch experience in database storage technologies

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience

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)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.