Senior Data Engineer - Finance | Netflix, Inc. | Los Gatos, CA
Data Science and Engineering
Senior Data Engineer - Finance
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 Finance/Subscriber wing of the Data Science and Engineering
team is looking for a senior data engineer who is passionate about data,
tenacious in finding solutions and working through issues. Candidate
should be courageous: challenges ideas or solutions, and present
alternate ideas to improve how we do things.
This team owns key dimensions including subscriber/customer
dimension and the related fact tables that are used across the board by
all other data vertical teams. This individual will play a key role in
maintaining, enhancing and enriching these data sets.
Responsibilities:
- Serve as the primary data integration technical resource within the team.
- Design, build, and maintain all parts of the data warehouse infrastructure (ETL, data modeling, basic reporting, etc.)
- Acquire data from transactional source systems to our data warehouse (typically using Pig, Python, Hive and Teradata)
- Evolve the way we organize and maintain this data
- Provide expert advice and education in the usage and
interpretation of data to the 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.
- Detect data quality issues and their root causes. Implement fixes and design data audits to capture the issues in the future.
Qualifications:
- Big data & production support ETL experience
- Pig, Python and Hive experience
-Scalability. You have dealt with TBs of data before
- Data modeling, SQL and data warehousing
- Ability to design and develop data structures needed to analyze large-scale complex business information
- Hadoop, MapReduce, Amazon EMR experience a plus
- Experience in business intelligence and reporting (Microstrategy/Tableau) is a plus
- 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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