Senior Data Engineer, Stores FinTech

Amazon; Seattle (WA); On-site; USD 139,000 - 241,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Engineer, where you will be at the forefront of innovative technology solutions. This role involves designing and building a flagship multi-year project that enhances automated planning and predictive forecasting. You will work with cutting-edge AWS technologies and collaborate with cross-functional teams to deliver high-quality data architecture and pipelines. This is an exciting opportunity to leverage your expertise in data engineering to drive impactful results in one of the largest and most complex supply chains globally. If you're passionate about data and innovation, this role is perfect for you.

Benefits

Medical Benefits

401(k) Plan

Employee Discounts

Flexible Work Hours

Paid Time Off

Employee Stock Options

Wellness Programs

Career Development Opportunities

Qualifications

• 5+ years of experience in data engineering with a focus on financial planning applications.
• Strong experience in building ETL pipelines and data modeling.

Responsibilities

• Design and build data architecture and pipelines for customer reporting needs.
• Collaborate with teams to tackle business requirements and enhance system reliability.

Skills

Data Engineering

ETL Pipelines

SQL

Python

Data Modeling

Mentoring

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS (EC2, RDS, Redshift, Kinesis, EMR, Lambda)

Hadoop

Spark

Hive

Job description

Job ID: 2965562 | Amazon.com Services LLC

How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive and innovative technology?

Amazon Stores FinTech Team is seeking a Senior Data Engineer to design and build a flagship multi-year project to inject automated planning and predictive forecasting, and help shape an end UI, built on the AWS Data Lake. We are the tech team that builds and supports Worldwide Amazon Stores – one of the fastest growing, largest and most complex Supply Chains in the world. This position requires a high level of technical expertise with data engineering concepts.

Key job responsibilities
* Expertise and experience in building and scaling Finance Planning Applications
* Deliver on data architecture projects and implementation of next generation financial solutions
* Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
* Build and deliver high quality data architecture and pipelines to support customer reporting needs
* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
* Continually improve ongoing data extraction, cleansing, validation, transformation and ingestion processes, automating or simplifying self-service support for customers
* Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability
* Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes
* Prepare run books, methods of procedures, tutorials, training videos on best practices for the team
* Build monitoring dashboards and creation of critical alarms for the system
* Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture
* Build automated unit test and regression test framework that can be leveraged across multiple data systems
* Build data reconciliation framework and tools that can be leveraged across multiple data systems
* Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements
* Identify process improvement opportunities to drive innovation
* Rotational on-call availability for critical systems support

BASIC QUALIFICATIONS

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience in designing and leading the build of financial planning, reporting or data/OLAP platforms

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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.

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