Data Engineer - A/B Testing Experimentation Platform (Contract)

Mexico City /
Tinder – Engineering /
Contractor
Data influences all of the decisions we make at Tinder. As a data engineer (contract) working on Tinder’s Experimentation Platform, you will design and build critical analytical pipelines at massive scale and develop self-serve technologies to enable a large number of A/B or multivariate experiments running in production. You will have tons of responsibility, freedom, and opportunity to have a direct and immediate impact on exploring new ideas to drive user satisfaction and company growth. You will help Tinder to evolve relentlessly through rapid iterations on product features, revenue, user growth and advanced matching algorithms. We would love to talk to you if you are interested in helping Tinder users achieve stronger matches, engage more effectively, and create more love, at a truly global scale.

What you'll do:

    • Support and improve existing experimentation analytics pipelines and systems in production
    • Design and develop new data pipelines and streaming processes that are highly available, scalable, and reliable
    • Maintain and evolve dimensional data models and schema designs to improve performance efficiency
    • Scale the self-serve experimentation platform to drive product innovations in over 190 countries
    • Partner with engineering, analytics, and product stakeholders to define experimentation standards, guidelines and best practices

What you'll need:

    • 2+ years experience building and maintaining large scale analytics systems
    • 2+ years programming experience in Scala, Java or Python
    • Experience working with Hadoop, Spark or ElasticSearch
    • Experience with NoSQL or RDBMS platforms - DynamoDB, MySQL, Redis, or Postgres
    • Experience with streaming platforms - Apache Kafka/Flink/Beam or Aws Kinesis
    • Experience with batch processing orchestration tools like airflow/luigi
    • Strong understanding of developing and maintaining cloud technologies

Nice to have:

    • Architecture experience, specifically in Amazon Web Services 
    • BS/ MS in Computer Science, Computer Engineering, or a related technical discipline
    • Exposure to analytics, statistics, or A/B Multivariate testing
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