Middle/Senior Data Engineer (AdTech Project)

Remote (Ukraine only) Big Data

Required skills

Scala / expert
Java / expert
AWS / good
Kubernetes / good
English / strong

Are you keen on sharing your knowledge and educating people around you? Are you interested in best developer practices that shift from a startup approach to highly maintainable solutions development? Then you are very likely the one to enjoy this role!

Being our team member means being open-minded, proactive, friendly, supporting, ready to accept the challenge, taking responsibility, and never stopping learning.

Customer

Our customer is a US-based leading performance marketing engine that delivers tailored experiences at scale.

Project

We are now looking for specialists to create a new platform for segmentation, analysis, retargeting, and management of advertising campaigns.

Requirements

  • BA/BS or MS degree in Computer Science is preferred
  • At least 3+ years of professional software development experience
  • Proficiency with Java or Scala
  • Knowledge of Column Family Databases
  • Familiarity with BigQuery
  • Experience working with Google Cloud Platform
  • Understanding of distributed data systems
  • Hands-on experience with building Lambda architecture
  • Previous experience working with big data tools such as Bigtable, Apache Spark, Apache Spark Streaming, Apache Heron, BigQuery
  • Preferred:¬†Google Cloud, Kubernetes
  • Experience running production Golang systems, Infrastructure background, Low Latency/High Throughput Architectural System Designs
  • Strong interest in Data Engineering
  • Eagerness to learn new technologies on the fly and ship to production
  • Upper-Intermediate level of English


Would be a plus:

  • Knowledge in Data Science

Responsibilities

  • Contribute to the development of¬†Micro Batch/Real-Time streaming pipelines (Lambda architecture)
  • Work closely with the engineering team on data preprocessing and data structure
  • Collaborate with key stakeholders to drive the architecture strategies
  • Participate in architecture reviews
  • Maintain a culture of innovation in an environment that requires high levels of scalability, security, and reliability
  • Help mentoring the Data Engineering team and leading the data engineering initiatives

WHY US

  • Health & Legal support
  • Discount program
  • Sport activities
  • Outstanding offices
  • Comfortable place in a cozy room
  • Continuous education
  • Flexible schedule
  • Remote work
  • Diversity of Domains & Businesses
  • Variety of technology

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