Senior Data Engineer (Databricks)

TL;DR

Senior Data Engineer (Databricks): Building and maintaining scalable data pipelines for end-to-end data & analytics solutions with an accent on large-scale processing, cloud services, and infrastructure automation. Focus on designing high-performance systems, integrating streaming data with Kafka, and deploying via Terraform and Docker.

Location: Ukraine (Remote/Office)

Company

Global digital solutions company headquartered in Austin, Texas, with Big Data & Analytics Center of Excellence building solutions for healthcare, finance, manufacturing, retail, and energy domains.

What you will do

• Build and maintain scalable data pipelines using Python, PySpark, and Databricks.
• Integrate AWS (or GCP/Azure) services and Kafka for data processing.
• Implement infrastructure as code with Terraform and containerization with Docker.
• Engage in full project lifecycle from strategy, PoCs, MVP to full-scale implementation.
• Collaborate with clients from startups to Fortune 500 companies across diverse domains.
• Work with cutting-edge cloud technologies and pursue certifications from AWS, Google, etc.

Requirements

• 5+ years in Data Engineering building scalable data pipelines.
• Proficient in Python, PySpark, and Databricks.
• Hands-on with AWS services (or GCP/Azure) and Kafka.
• Experience with Terraform and Docker.
• English upper-intermediate (B2) for daily communication with English-speaking engineers.

Nice to have

• Familiarity with AI-assisted development tools for coding, testing, and code review.

Culture & Benefits

• Join a team dedicated to continuous learning, improvement, and knowledge-sharing.
• Work with innovative tech stack from major cloud providers.
• Collaborate on 2,000+ projects with USA, Europe, and APAC clients.
• Top-level partnerships with AWS, GCP, Microsoft, Databricks, Snowflake, Confluent.