MULTIPLE POSITIONS AVAILABLE
Employer: SERVICES LLC
Offered Position: Principal Data Engineer
Job Location: Seattle Washington
Job Number: AMZ9082203
Position Responsibilities:
Drive decisions design scalable architecture for Analytics data infrastructure ETL processes data solutions making sure we produce reliable accurate timely data for our customers. Design develop implement test document and operate large-scale highvolume high-performance data structures for business intelligence analytics. Lead the technical roadmap for Analytics team including yearly 3-year plans. Set the standard for data engineering excellence defining best practices and driving continuous improvement across data pipelines data models and analytics processes. Solve intrinsically difficult data problems by breaking down complex challenges into straightforward solutions. Work closely with business stakeholders technical teams and data consumers to define the long-term data vision and roadmap architect innovative solutions to complex data challenges. Implement data structures using best practices in data modeling ETL/ELT processes SQL OLTP and OLAP technologies. Provide on-line reporting and analysis using Cloud business intelligence tools and a logical abstraction layer against large multi-dimensional datasets and multiple sources. 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 data engineers and lead analytics orgs technical roadmaps.
Position Requirements:
Masters degree or foreign equivalent degree in Computer Science Engineering Information Systems or a related field and one year of experience in the job offered or related occupation. Employer will accept a Bachelors degree or foreign equivalent degree in Computer Science Engineering Information Systems or a related filed and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Masters degree and one year of experience. Must have one year of experience in the following skill(s): experience with data architectures data platforms pipelines and storage solutions; designing complex data solutions working on large scale systems and leading technical roadmaps for the analytics teams; and developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; (v.) Reporting and (vi.) Cloud data platform.
is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week 8:00am-5:00pm Salary Range $196914/year to $248900/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:
Requirements:
Masters degree or foreign equivalent degree in Computer Science Engineering Information Systems or a related field and one year of experience in the job offered or related occupation. Employer will accept a Bachelors degree or foreign equivalent degree in Computer Science Engineering Information Systems or a related filed and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Masters degree and one year of experience. Must have one year of experience in the following skill(s): experience with data architectures data platforms pipelines and storage solutions; designing complex data solutions working on large scale systems and leading technical roadmaps for the analytics teams; and developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; (v.) Reporting and (vi.) Cloud data platform.#0000
Please see job description and the position requirements above.
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