SR. DATA ENGINEER, GSO DATA SERVICES

Description

The mission of Amazons Global Security Operations (GSO) organization is to mitigate security and operational risks to our associates, data, and physical assets.

The GSO Data Services (DS) team, based in Goodyear, Arizona, is responsible for providing support to our global teams through ETLM, governance, database administration, and analysis tasks.

GSO DS is seeking an experienced Data Engineer (DE). The DE will be tasked with developing and maintaining the technology and processes necessary to capture, store, and vend data at scale.

We are looking for a versatile and passionate engineer who prides themselves on data quality and its ability to shape impactful decisions.

Successful candidates will have the ability to break down complex problems into manageable solutions, advocate for the highest standards, communicate with stakeholders globally, and ultimately deliver results.

This role will interact extensively with cross-functional groups such as database engineers, software developers, business intelligence engineers, business analysts, and business leaders to capture requirements, build databases, design and vend reports, and maintain the supporting infrastructure.

Successful candidates will have experience with AWS technologies, ETL mechanisms, and database design.

Key job responsibilities

• Design, develop, and maintain the infrastructure and processes to support global data services programs.
• Design, develop, and maintain the reports distributed to business leaders.
• Gather, backlog, and prioritize requirements from business partners.
• Identify key performance indicators and actionable insights
• Write high-quality SQL queries to retrieve and analyze data.
• Write high-quality scripts to transform, test, and access data.
• Partner with cross-organization teams and contributors to gather data and align reporting programs.
• Provide coaching to colleagues in best practices.

A day in the life

The role needs to ensure that the data we vend is accessible to all of our customers by reviewing system health metrics and the status of the various automated jobs.

They'll then check for any tickets that came in for ad-hoc operational requests before moving on to the project work assigned for that sprint.

Typically they'll need to reach out to several stakeholders to discuss requirements and iterate on solutions. After project work has completed, they'll update their tracking tickets and evaluate the backlog for the next priority.

Once a week or so they'll take some time to explore new technologies and recommend how they can be integrated into the program.

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 :

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 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 youre passionate about this role and want to make an impact on a global scale, please apply!

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 operating large data warehouses
• 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

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 $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.