Senior Data Engineer (Databricks)

TL;DR

Senior Data Engineer (Databricks): Enhance and maintain data models within a complex data platform with an accent on data modeling principles, Kafka integration, and distributed systems. Focus on root cause analysis, bug fixing, designing new models, and implementing pipelines across the full data lifecycle from ingestion to modeling.

Location: Ukraine (Remote/Office, flexible workplace - work from home or any office in your country)

Company

Global digital solutions company headquartered in Austin, Texas, developing cloud-based construction project management software for a West Coast US client serving users worldwide.

What you will do

• Enhance and maintain data models in a complex data platform
• Analyze and fix issues in existing data models through root cause analysis and bug fixing
• Design and implement new data models
• Enhance existing data pipelines and models
• Work across the full data pipeline including ingestion, processing, and modeling

Requirements

• 4+ years in Data Engineering with strong focus on data modeling
• Proficient in Databricks and Apache Spark
• Solid understanding of data modeling principles
• Strong skills in Kafka and data pipelines
• Familiar with modern data platforms and distributed systems
• Upper-intermediate English for daily communication with client-side engineers

Nice to have

• Awareness of AI/ML concepts

Culture & Benefits

• Work with cutting-edge technologies and world-famous products
• Collaborate with startups, ISVs, and Fortune 500 companies
• Gain certifications from Google and AWS
• Flexible workplace: remote from home or any office in your country
• Equal opportunity employer