Do you have passion for delivering key insights on top of Big Data? A desire to help shape the emerging BI ecosystem with Cloud and Enterprise into a competitive differentiator? What about working directly with engineering counterparts and assorted business teams to influence how products and services within C+E are developed, operationalized and monetized? The goal of Cloud and Enterprise (C+E) Analytics team is to foster a data-driven culture, to encourage and enable the entire organization to make more informed decisions through data. As part of that work our infrastructure and solutions team develops and operationalizes the BI platform that enables a variety of teams and processes to realize that goal. As the volume of data-and the demand for solutions-grows, we need a strong and experienced SDE who can design & develop on Big Data systems and help manage day-to-day operations.
•Providing End-to-End Technical Leadership
•Mentoring people, helping them grow, and developing their careers
•Partnering with a Product Manager to lead features execution across engineering disciplines to deliver great experiences
•Proving oversight and accountability for technical decisions
•Collaborating with other teams in C+E
•You will play a key role on technical communication, coordination and alignment across product teams, and address complex, external partner issues and needs.
•Create and manage complete designs that solve classes of problems, enable group of components and satisfy business, customer, engineering and operational requirements.
•Design and develop key ingredients to big data pipelines like Spark, SCOPE & T-SQL scripts, workflow orchestration tasks, diagnostic interfaces, service layers and other assorted reporting/distribution assets.
•Create different types of automated tests to ensure high quality bar.
•Monitor and proactively troubleshoot day-to-day operations.
•Own Technical design of components with overall systems view. Engage Partners for feature validations
•Should be able to perform a technical lead role for a Project, which includes owning the tech design, planning and execution of tasks.
•Bachelor’s degree in Computer Science, Engineering, or Business Information Systems
•8+ years of experience in management as well as software development
•3+ years of development experience in Big Data platforms such as AWS, HDInsight
•Cosmos or Spark experience is preferred
•Great design and problem-solving skills, with a strong bias for quality and engineering excellence at scale.
•Exceptional technical know-how, ability to quickly adapt to new technology and go deep in new focus areas.
•Demonstrated ability to drive and deliver features on time with quality.
PERSONAL ATTRIBUTES/INTERPERSONAL SKILLS:
•Excellent written and oral communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts.
•Attention to detail with self-discipline and a drive for results.
•Demonstrated ability to work in ambiguous situations and across organizational boundaries.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to email@example.com.
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