Senior Data Engineer: Ranking Team

hace 1 semana

Laza, Orense, España Constructor A tiempo completo

Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick.

The Ranking team, within the Machine Learning department, plays a central role in implementing algorithms that optimize our customers' business KPIs like revenue and conversions.

We focus on metrics over features, supplying our ranking algorithms with powerful capabilities that bring value to customers.

The team is cross-functional, consisting of ML, BE, and FE engineers as well as designers.

As a member of the Ranking team, you will be surrounded by and encouraged to use world-class analytical, engineering, and machine learning techniques on big data to evolve and scale our search algorithms.

The Ranking team owns all stages of product ranking for Constructor's Search, Browse and Autocomplete experiences, including base ranking, ML ranking, personalization, and ranking explanation.

A primary focus of the Ranking team is to develop a platform that allows internal and external users to configure ranking for business needs and experiment with new signals easily.

Challenges you will tackle:

  • Design, improve and maintain the Ranking Platform in close collaboration with other engineers from the Ranking team.
  • Improve Ranking Platform usability for fellow engineers.
  • Build / deploy / support robust highload real-time (ML) system(s) for personalized search and browse experiences.
  • Collaborate with technical and non-technical business partners to develop / update ranking functionalities (within & outside the team).
  • Optimize current ranking service performance.
  • Optimize signals delivery and retrieval (e.g. Feature Store) for ML models inference.

Requirements:

  • At least 4 years of experience in software development, with proficiency in Python programming language.
  • Experience with big data tools: Apache Spark or any other map-reduce framework.
  • Experience with data pipeline orchestration: strong understanding of ETL/ELT processes using orchestration tools like Airflow, Luigi, or cloud-native services (AWS Glue, Step Functions).
  • Experience working with large datasets, distributed systems, NoSQL and relational databases, and caching solutions, ensuring scalability and low-latency performance.
  • Experience with performance optimization: proven experience optimizing web services & data pipelines to improve speed, reliability, and scalability.
  • Experience with real-time data processing: Experience building and supporting high-load real-time data platforms for ranking and personalization systems.
  • Experience with data ingestion pipelines: Ability to design and maintain robust data ingestion systems that pull data from multiple sources (e.g. APIs, databases, event streams) into the platform in real-time.
  • Experience with monitoring and alerting: Experience with setting up monitoring and alerting (e.g. Prometheus, Grafana, Datadog) to ensure the reliability and health of data pipelines and platforms in production.

Soft skills:

  • Experience collaborating in cross-functional teams.
  • Excellent English communication skills.

Benefits:

  • Base range of 90-110k USD + stock options + work from home bonus.
  • Fully remote team - choose where you live.
  • Work from home stipend.
  • Apple laptops provided for new employees.
  • Training and development budget for every employee, refreshed each year.
  • Parental leave for qualified employees.

At Constructor, we are committed to cultivating a work environment that is diverse, equitable, and inclusive.

As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Our primary interest is in finding the best candidate for the job.

We encourage you to apply even if you don't meet all of our listed qualifications.

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