Senior Data Engineer - Discovery and Personalization | Netflix, Inc. | Los Gatos, CA
Data Science and Engineering
Senior Data Engineer - Discovery and Personalization
Data Science and EngineeringLos Gatos, CA
Netflix is the world's leading video streaming subscription service
and growing rapidly. In order to provide a responsive and reliable
experience for our customers, we've scaled out massively around the
world, constantly challenging the limits of nascent cloud technology,
and maturing it and the tools surrounding it.
The Discovery and Personalization wing (Search, Merch,
Personalization, Product features – Ratings, My List etc.) of the Data
Science and Engineering team is looking for a data engineer to support
initiatives in this space. Looking for an individual who is passionate
about data, tenacious in finding solutions and working through issues.
Candidate should be courageous: have a voice; challenges ideas or
solutions, and presents alternate ideas to improve how we do things.
Responsibilities:
- Design, build, and maintain all parts of the data warehouse
infrastructure to support analysis (requirements gathering, ETL, data
modeling, basic reporting, etc)
- Evolve the way we organize and maintain this data
- Provide expert advice and education in the usage and
interpretation of data within the Discovery and Personalization team and
for other teams across Data Science and Engineering
- Champion better cross-functional data integration efforts, both upstream and downstream
- Develop and maintain strong relationships with key stakeholders and partners.
- Ensure that the necessary instrumentation and robust data logging is in place to measure the performance of product feature.
- Detect data quality issues and their root causes. Implement fixes and design data audits to capture the issues in the future.
Qualifications:
The successful candidate will have a minimum of 5 years of
experience in a data-driven information environment designing and
implementing solutions. To succeed in this role, you should also have
the following qualifications and characteristics:
- MS/BS in Computer Science, MIS or relevant work experience
- 2 years of experience working with large data sets, cloud technologies - Hadoop, Pig, Hive, MapReduce.
- Experience in building end-to-end ETL pipeline.
- Strong knowledge in scripting languages Python/Perl.
- Solid database experience, proficiency in writing complex SQL. Teradata experience is a plus.
- Experience in business intelligence and reporting (MicroStrategy/Tableau) is a plus.
- Strong understanding of data architecture, data modeling, clickstream/event logging systems.
- Ability to learn new technologies and help integrate them successfully into the existing workflow.
- Excellent communication skills with the ability to present complex issues in technical and non-technical terms.
- Ability to work in a dynamic organization with minimal documentation and process
A few more things to know:
- Our culture is unique and we live by our values. It’s worth learning more: www.netflix.com/Jobs
- You will need to be comfortable working in the most agile of
environments. Requirements will be vague. Iterations will be rapid.
You will need to be nimble and take smart risks.
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