Amazon Jobs Looking for Data Engineer, AWS WW Field Enablement, Data Engineering and Analytics at Detroit, MI Full Time

• Job summary
  Amazon Web Services (AWS) is obsessed with ensuring the success of our customers. To this end, AWS is building the industry’s best-trained sales force. As the number of AWS sellers and cloud services continues to expand rapidly, AWS is re-investing how to train and enable its sellers. AWS Worldwide Field Enablement (WWFE) organization is driving this transition by pioneering highly innovative, multi-modal enablement that is able to support our field’s diverse learning styles.

  WWFE is looking for a results-oriented Data Engineer to help AWS build our next generation of enablement data engineering solutions. WWFE’s data solutions will help us understand what training each of AWS’ sellers consume every day and how this training impacts their business results and productivity.

  As a Data Engineer II, you will

• Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and deep learning using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and big data tools.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Analyze source data systems and drive best practices in source teams.
• Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.
• Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.
• Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data and business intelligence engineers.

  This job can be located near any AWS office in the United States. Preferred cities include Seattle, WA.

  About the team
  About Us
  As cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills

  Inclusive Team Culture
  Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

  Work/Life Balance
  Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

  Mentorship & Career Growth
  Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• 4+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Degree in Computer Science, Engineering, Mathematics, or a related field and 4-5+ years industry experience
• Must have one year of experience in the following skill(s): Developing and operating large-scale data structures for business intelligence analytics using: ETL/ELT processes; OLAP technologies; data modeling; SQL;
• Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
• Experience with at least one relational database technology such as Redshift, Oracle, MySQL or MS SQL
• Experience with at least one massively parallel processing data technology such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution

PREFERRED QUALIFICATIONS

• Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• A desire to work in a collaborative, intellectually curious environment
• Experience building data products incrementally and integrating and managing datasets from multiple sources
• Query performance tuning skills using Unix profiling tools and SQL
• Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Linux/UNIX including to process large data sets.
• Experience with AWS, Azure or any cloud infrastructure

The pay range for this position in Colorado is $132,100 – $178,800[yr]; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.

The pay range for this position in Jersey City is $132,100 – $178,800[yr]; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Pay Transparency Regulation of Jersey City Municipal Code. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.

Pursuant to the San Francisco and Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.