Senior Data Engineer – Games 1085 views

Senior Data Engineer – Games – 32864

Technology and Engineering – USA New York, New York

Explore and Discover Nielsen! With offices located in 110 countries, we are a global independent measurement and big data analytics company focused on your future. Nielsen Portfolio is one of three core Nielsen businesses.

The Portfolio division is defined as a high-growth, innovation-based business that supports the needs of our clients. Portfolio includes Gracenote, Nielsen Sports/Esports/Games, Nielsen Music, Brandbank, SuperData, & Nielsen Book, making Nielsen Portfolio the largest supplier of metadata, data, measurement, and insights to the global Entertainment Industry.

Our SuperData Team Is Seeking a Senior Data Engineer

SuperData is the leading provider of data and market intelligence on digital games and interactive media. Our research methodology is driven by behavioral and digital point-of-sale data collected directly from game publishers and developers.

SuperData publishes industry relevant key performance indicators for benchmarking, competitive analysis, and performance optimization. We specialize in helping our clients use data to identify actionable growth and investment opportunities.

Innovation Team

The Innovation Team sits at the nexus of the Data Engineering, Insights, and Analytics teams at SuperData Research– the team specifically pioneers the data research powering new features and products. The Senior Data Engineer is a visionary in data analysis and a pragmatist in research execution. Nothing of value within a data set eludes the Senior Data Engineer. The role leads a small group of Data Scientists & Engineers.

The ideal candidate has a background in Data Science/Engineering and demonstrates mastery of data mining, statistical modeling, machine learning and predictive analytics across structured and unstructured data. Successful candidates are expected to independently design, test, and scaling out successful prototypes into products across direct reports. Strong understanding of the tools that power analytics is a must, particularly infrastructure and computer engineering concepts.

Responsibilities

Design and execute research projects from start to finish.

Design scrapers and ETL processes to bring data into SuperData databases.

Pre-process and clean data ahead of analytics.

Optimize storage architectures and databases for fast response.

Break down large problems into modular pieces to enable parallelization of processing where possible – looping over modules slice aggregating for custom visibility.

Automate batch and cron jobs.

Initiate feedback loops with QA to inform forward strategy.

Manage Innovation Projects

Define scope for new Innovation projects.

Review open projects weekly and provide feedback/advisory as required to junior team members.

Mentorship

Keep abreast of developments in the field.

Enable team members with specialized learning plans.

Communication & Collaboration

Presentation of results to stakeholders.

Scope out new opportunities with internal teams and external companies.

Mastery Of Python

Key Concept Requirements:

Data Import/Export & Manipulation – csv, json, data frames

Scraping/ETL – Selenium, Beautiful Soup, etc.

Analysis Packages

Mastery Of MySQL

Nested Queries, Joins, Temporary Tables, Stored Procedures, Events

Mastery Of Algorithms & Supporting Mathematics

Big O Notation

Algorithmic Design and Modifications

Compute Fundamentals

Processor Speed

Thread Management

Memory Fundamentals

Database Caching

Local Caching

Memory Management

Storage Fundamentals

NAS/Block Store Latency

Connection Pools

Database Architecture

Cloud Compute In AWS EC2

Windows Server 2012/2016

Amazon Linux 2

This Best Describes You

• • You have a degree (Undergraduate or Masters) in Finance, Economics, Statistics, Business, Computer Science, or Computer Engineering.
  • You are a strong problem solver – you solve problems of a particular type once, not individual problems. Your solutions are dynamic and scalable.
  • You are always learning newer, faster, and better ways of doing things.
  • You test and tune your own work.
  • You have extreme attention to detail.
  • You know what you know, you know what you don’t know, and you know how to figure out what you need to know.
  • You have 5+ years’ work experience in Data Science/Data Engineering roles or equivalent.
  • You are proficient in English.

Nice-to-have

• • Familiarity with video games and understanding of how games earn revenue a plus. (Virtual economies, exchange rates, how to make a purchase, what virtual storefronts look like, etc.)
  • Impress us with a ridiculous high-score in your favorite game, your gaming stats, your unbeatable Magic deck, or your gaming rig specs.
  • Show us analytics websites, tools, databases, or dashboards you have developed have collaborated on.

About Nielsen

Nielsen N.V. (NYSE: NLSN) is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio, and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry’s only global view of retail performance measurement.

By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company, has operations in over 100 countries that cover more than 90 percent of the world’s population. For more information, visit www.nielsen.com

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

Job Type: Regular

Primary Location: New York , New York

Secondary Locations: , , ,

Travel: No