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YieldMo // mobile audience marketplace for publishers & advertisers
 
Engineering, Full Time    New York    Posted: Monday, March 21, 2022
 
   
 
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JOB DETAILS
 

Who We Are

Yieldmo is one of the worlds fastest-growing digital advertising & attention analytics companies. Agencies & brands use its premium marketplace to create, measure, model, & optimize their campaigns for unmatched scale & performance. Underpinned by AEROS Attention Analytics, advertisers can now truly understand how consumers are interacting with ads before the click, & after the initial view. Yieldmo ultimately delivers better results by harnessing the power of attention data to drive superior audience engagement & targeting.

What We Need

As a member of the Yieldmo data team you are expected to be curious & go above & beyond the job at hand. Your primary responsibility includes data system design, data platform development, mentoring, setting up coding best practices, building Python based reusable frameworks & code review. In your role you are expected to research, design, build & upkeep high throughput data infrastructure. The work primarily is in building data solutions  for collecting, storing,  analyzing , & exchanging our large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing in varied technologies including: Develop custom transformation/integration apps in Python & Java, & build pipelines utilizing Amazon Web Services such as lambda, API gateway, ECS, SNS, SQS,  Kinesis, transforming & analyzing in SQL.

Responsibilities

  • Conceptualize & architect the blueprint for Enterprise Data Management
  • Visualize, design & organize data processes into reusable code frameworks
  • Design & analyze highly optimized data infrastructure for performance & usability
  • Set future state direction for Enterprise Data Infrastructure, Data Analytics, Business Intelligence, high throughput data pipelines, by continuously staying abreast of the technology marketplace
  • Code review & setting best practices around software development using Python, Java
  • Lead initiatives in product selection & POC process
  • Assess technology & process portfolio for lifecycle impact, consolidation, reuse & optimization
  • Be an expert in the codebase & systems on which they work, & clearly understand how those systems interact with other systems through Yieldmo ecosystem
  • The person should become a domain expert in the area of business they work on
  • Willing to take responsibility & complete ownership of projects & stay focused to drive projects to finish
  • Ability to break complex & large technical solutions into manageable activities & prioritize

Requirements

  • BS, MS or higher degree in Computer Science, Information Systems, Engineering or equivalent
  • 9+ years of experience of building datalake / datawarehouse platform for high volume data systems of all sorts (relational, big data, etc)
  • Diverse experience building scalable solutions using cloud services (AWS) such as : Lambda, SQS, SNS, ECS, ECR, Containerization using Docker, K8's, Github action, Jenkins, Airflow : that support processes such as: code deployments, data collection, streaming, data transformation, workflow automation, orchestration 
  • In depth knowledge of Object Oriented Programming in languages such as Python, Java
  • Data analysis skills in SQL
  • Keen interest for designing systems for performance & scale 
  • Proven track record in developing data systems using test driven development
  • Coaching & implementing coding best practises & code review processes
  • Technology strategist: track record of suggesting & building tech solutions that best suit to optimally solve business problems
  • Ability to communicate with both business & technical resources, particularly the skill of expressing complex issues with clarity & simplicity

Perks

  • Generous compensation & benefits
  • Work-life balance with flexible PTO
  • Learning stipend for all employees
  • Daily catered lunches
  • Dog friendly office
 
 
 
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