The Big Data Engineer will lead end-to-end development of high-scale Big Data solutions, working with a team to enhance audience profiles and enable precise targeting through data-driven decision-making.

In Short

Lead end-to-end development, from design to production.
Implement and optimize high-scale Big Data solutions.
Mentor and guide junior developers through complex projects.
Contribute to platform infrastructure and architecture.
Research core technologies and integrate with external APIs and services.
Work closely with Product, Engineering, and Data teams to deliver business-driven solutions.
Participate in off-hours Pager Duty (additional compensation provided based on schedule).

Requirements

5+ years of experience in Big Data engineering using Spark, Python, Java, and Scala.
Desire to learn Clojure and adapt quickly to new technologies.
Strong experience in Pipelines, ETLs, Streaming Systems (Spark, Kafka, EMR, EC2, Airflow).
Experience working with SQL & NoSQL databases (MongoDB, MySQL, ElasticSearch).
Proven ability to handle performance optimization and high-scale systems.
Team player, strong communication skills, and an ego-free approach to collaboration.
English proficiency from B1+ for effective communication with global teams.

Benefits

Technical and non-technical training for professional and personal growth.
Internal conferences and meetups to learn from industry experts.
Support and mentorship from an experienced employee to help you professional grow and development.
Internal startup incubator.
Health insurance.
English courses.
Sports activities to promote a healthy lifestyle.
Flexible work options, including remote and hybrid opportunities.
Referral program for bringing in new talent.
Work anniversary program and additional vacation days.