Senior Data Engineer/Scientist - Adaptive Streaming | Netflix, Inc. | Los Gatos, CA
Data Science and Engineering
Senior Data Engineer/Scientist - Adaptive Streaming
Data Science and EngineeringLos Gatos, CA
It's
no accident that Netflix provides one of the smoothest and
best-integrated streaming video experiences across the hundreds of
devices we support. Netflix takes its data seriously and leverages it
as part of our core culture to make data-driven decisions to steer
product development, and we've only scratched the surface in the types
of deeper analytics we'd like to do!
Want to help? We're looking for an additional data
engineer/scientist to work directly with the product development and
streaming platform teams to build better data frameworks and dig into
analytics regarding the quality and performance of the streaming
experience.
Responsibilities:
- Investigate the interactions of playback performance metrics
(play delay, average bitrate, rebuffer rates, etc.) with each other and
the effect on subscriber usage to help identify opportunities for
algorithmic improvement
- Build tools and visualizations to help explore these interactions
- Provide expert advice and education in the usage and interpretation of data around quality of experience metrics
- Provide decision-support to engineers and managers by creating
reports, running queries, building predictive models – really doing
whatever it takes – to support the analytical needs of the streaming
platform organization
- Design, build, and maintain all parts of the data warehouse
infrastructure to support video quality analysis (requirements
gathering, ETL, data modeling, metric design, reporting/dashboarding,
etc)
- Identify data quality issues and their root causes. Implement fixes and design data audits to capture the issues in the future
Qualifications:
Netflix Data Science & Engineering is different than
most other data warehouses. At other companies, the world revolves
around technical tracks – database development, ETL, report development,
analysis, data modeling, mathematical modeling, etc. Engineers are
assigned to one track, and only do that type of work, day in and day
out. At Netflix, the tracks are vertical business groups (Marketing,
Finance, Customer Service, Content, Discovery, Streaming Activity), and
our engineers are assigned to one of those tracks, and leverage all of
their technical skills to solve business problems for that vertical
group.
We look for engineers with experience both building and using
analytical tools at other companies – preferably leveraging any of the
three primary technologies that we use (MicroStrategy, Hive/Pig and
Teradata), though we do not limit ourselves to just these platforms.
The successful candidate will have a minimum of 5 years of
experience in a data-driven information environment designing and
implementing analytic insight systems - ideally in a consumer-facing or
web-based business. To succeed in this role, you should also have the
following qualifications and characteristics:
Essential
- Energetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverables
- MS/BS in Computer Science, MIS, Mathematics, Physics or other quantitative field or relevant work experience
- Passion for - and background in - leveraging data to drive significant business impact
- Extensive experience with analytical tools supporting data
analysis, reporting and visualization (MicroStrategy, Tableau, R, etc.)
- Extensive experience using SQL for analytic research
- Exceptional communication skills
- Bias-to-action: Responsive, team-oriented personal style for effectiveness with internal clients and colleagues.
- Flexibility and comfort working in a dynamic organization with minimal documentation and process
Desired
- Solid statistics background preferred
- Experience with distributed analytic processing technologies is desired (Hadoop, Hive, MapReduce, etc)
- Experience with consumer-facing internet products & services
- Experience analyzing system or networking data a plus
- Experience in ETL development and tools is a plus
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