Data Engineer

Time zone

(GMT-04:00), New York.

Line manager

Director of Infrastructure, Data.

Why we are recommending

• The PulsePoint platform is powered by terabytes of impression-level data.
• Ability to work with modern technologies.

Responsibilities

• Design, build and maintain reliable and scalable enterprise-level distributed transactional data processing systems for scaling the existing business and supporting new business initiatives.
• Optimize jobs to utilize Kafka, Hadoop, Presto, Spark Streaming and Kubernetes resources in the most efficient way.
• Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc).
• Increase accessibility and effectiveness of data (work with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases).
• Collaborate within a small team with diverse technology backgrounds.
• Provide mentorship and guidance to junior team members.

Requirements

• BA/BS degree in Computer science or related field.
• 5+ years of software engineering experience.
• Proficiency in Linux.
• Fluency in Python.
• Strong understanding of RDBMS, SQL.
• Passion for engineering and computer science around data.
• Willingness to participate in 24x7 on-call rotation.

As a plus:

• Knowledge and exposure to distributed production systems i.e Hadoop.
• Experience in Scala/Java.
• Knowledge and exposure to Cloud migration.

Company offers

• NY time work schedule: ideally- Moscow 4 pm-1 am (can be adjusted 2 pm-11 pm).
• US holiday schedule.
• 21 days of vacation.
• You will work as a contractor.

Hiring process

You will have 4 stages:

• HR interview in English
• Phone screening with Director of Infrastructure, Data.
• Tech interview with Leads and Senior Engineers about Python, SQL, algorithms and structure of data, architecture and Linux.
• Interview with CTO.