Manager III, Data Engineering - AMZ

Description

MULTIPLE POSITIONS AVAILABLE

Employer:

SERVICES LLC

Offered Position:
Manager III, Data Engineering

Job Location:

Austin, Texas

Job Number: AMZ
9081135

Position Responsibilities:

Lead the design, development, and maintenance of innovative and scalable Data solutions across the organization, with the highest standards of analytical rigor and data integrity. Partner with data engineering and SDEs to build best in class data architecture and pipelines to support analytics needs. Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.

Partner with scientists to translate business insights and trends into experimentation and testing, and modeling. Support our Program/Product Managers and their cross-functional project and tech teams on the day-to-day execution of data projects and initiatives. Lead and grow the data engineering and Analytics function. Define and help prioritize business requirements to improve our understanding of Customer behavior and engagement.

Position Requirements:

Master’s degree or foreign equivalent degree in Computer Science or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to a Master's degree and one year of experience.

Must have one year of experience in the following skills:
1) using relational database technology such as Redshift, Oracle, MySQL, or MS SQL;
2) developing and operating large-scale data structures for Data analytics using ETL/ELT processes;
3) managing a data or BI team; and
4) using at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.

is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

40 hours / week, 8:00am-5:00pm, Salary Range $170,000/year to $230,000/year.

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, visit:

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Basic Qualifications

Position Requirements:

Master’s degree or foreign equivalent degree in Computer Science or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to a Master's degree and one year of experience.

Must have one year of experience in the following skills:
1) using relational database technology such as Redshift, Oracle, MySQL, or MS SQL;
2) developing and operating large-scale data structures for Data analytics using ETL/ELT processes;
3) managing a data or BI team; and
4) using at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.#0000

Preferred Qualifications

Please see job description and the position requirements above.

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. 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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.