Lead Data Engineer

Posted Yesterday
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San Francisco, CA, USA
In-Office
Senior level
Information Technology • Professional Services • Consulting • Defense
The Role
Lead design and implement scalable data infrastructure and transformations. Build data repositories, convert data science algorithms into robust pipelines, mentor a small data engineering team, ensure delivery quality, and collaborate with Product, Data Analysts, and Data Scientists.
Summary Generated by Built In
Company Description

RADIUMONE IS A GLOBAL PROGRAMMATIC AD BUYING PLATFORM

RadiumOne is the 6th largest web property in the U.S. according to comScore

We build intelligent software that automates media buying, making big data actionable for marketers and connects them to their next customer.

Based in San Francisco, we are seeking a talented Lead Data Engineer. 

RadiumOne generates first-party data about actual customers — from their behaviors, actions and interests demonstrated across the web and mobile. Then we access tens of billions of real-time impressions each day across the Web, video, social and mobile to reach consumers in real-time no matter where they are. Our intelligent software and methodologies increase the relevance and personalization of ads through sophisticated algorithms that find valuable characteristics, gauge consumer behaviors, and target ads with laser focus to the right audiences

Job Description

RadiumOne is seeking a Lead Data Engineer to join our Data Technology team with the responsibility of designing and implementing scalable data infrastructure, as well as implementing data transformations developed by data scientists as scalable and robust processes. In this role, the successful candidate will be responsible for the following:

Duties:

• Develop conceptual, logical and physical design of data repositories for various types of data access

• Design and develop scalable, robust implementations of algorithms provided by data analysts and data   scientists

• Lead a small team of Data Engineers (mentor team members, oversee their design and implementation   work),

• ensure quality and timely delivery of projects

• Work closely with Product Management, Data Analysts and Data Scientists to ensure that implemented   solutions are built as desired

Qualifications

• Leadership experience

• Knowledge and expertise of No SQL and Big Data technologies

• Strong knowledge of Linux

• Demonstrated programming skills in one or more of: Bash/Shell, Python, Perl, and automation

• Working knowledge of databases, including abilities to write / tune SQL queries

• Experience of working with large data volumes (processing of more than 1 GB of data per day)

• Experience in analytical insights

Education and Experience

Bachelor’s degree or foreign degree equivalent in Computer Science, Software Engineering, Computer Engineering, Information System Management or related field

5 years of experience in data processing field.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • Leadership experience
  • Knowledge and expertise of No SQL and Big Data technologies
  • Strong knowledge of Linux
  • Programming skills in one or more of Bash/Shell, Python, Perl, and automation
  • Working knowledge of databases, including ability to write and tune SQL queries
  • Experience working with large data volumes (processing of more than 1 GB of data per day)
  • Experience in analytical insights
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information System Management or related field
  • 5 years of experience in data processing field
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The Company
2 Employees
Year Founded: 1999

What We Do

StepUp Solutions, Inc. is a CMMI Institute Licensed Partner that provides performance improvement consultation, appraisals, and training for commercial and defense-related companies. They specialize in helping organizations improve their software, systems, and hardware engineering practices to better meet project cost, schedule, and quality objectives.

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