Lead Data Engineer (Spark)

TL;DR

Lead Data Engineer (Spark): Own end-to-end development of Data Management Platform receiving, processing, and providing user behavioral data for analytics and ad targeting with an accent on high-scale big data solutions, streaming architecture, and platform infrastructure. Focus on implementing data pipelines, optimizing ETL processes, evaluating technologies, and leading developers on complex projects.

Location: Georgia, Moldova, Ukraine. Flexible work options, including remote and hybrid opportunities.

Company

hirify.global working for a global technology company transforming marketing decisions via a platform for cross-channel programmatic media campaigns using real-time research, audience data, and integrated partners like Facebook and Google.

What you will do

• Own end-to-end development from design to production with focus on innovation and efficiency.
• Lead and mentor developers on complex projects impacting core business systems.
• Contribute to design and development of next-generation data solutions based on streaming architecture.
• Implement high-scale big data solutions and platform infrastructure/architecture.
• Research core technologies, integrations, and external APIs.
• Collaborate with Product, Engineering, and data providers; participate in pager duty rotation.

Requirements

• Bachelor’s degree in Computer Science or equivalent experience.
• 4+ years of software development experience.
• 2+ years with Apache Spark.
• 2+ years with Scala (preferred), Python, or Java.
• Experience with high-performance/large-scale/distributed data systems.
• Experience with SQL/NoSQL databases, Kubernetes, Git.
• English level: B1+ or higher.

Nice to have

• Experience building/optimizing data pipelines, ETL, streaming (Hadoop, Spark, Kafka).
• Familiarity with GitLab, Grafana, InfluxDB, Kibana.

Culture & Benefits

• Technical/non-technical training, internal conferences, meetups, mentorship.
• Health insurance, English courses, sports activities.
• Flexible work (remote/hybrid), referral program, work anniversary perks, additional vacation days.