Data Engineer (Java)

TL;DR

Data Engineer (Java): Designing and implementing high-load batch and streaming data pipelines on Google Cloud Platform with an accent on performance optimization, observability, and robust orchestration. Focus on building scalable data systems using Java, Apache Beam, and Spark, while driving architectural standards and ensuring system reliability.

Location: Warszawa (Onsite)

Company

hirify.global is a leading telecommunications company driving innovation in 5G, IoT, and AI technologies.

What you will do

• Design and implement batch and streaming pipelines using Beam, Spark, or Flink.
• Optimize data jobs for performance and cost while implementing robust testing and observability.
• Build and manage Airflow orchestration for complex data workflows.
• Troubleshoot production issues and lead root-cause resolution.
• Contribute to team standards, reusable libraries, and architectural templates.
• Collaborate closely with the Data Engineering Lead to ensure high-quality code and system design.

Requirements

• Minimum 6 years of experience in data engineering with architectural leadership.
• Expert-level proficiency in Java, including concurrency and performance profiling.
• Strong experience with Google Cloud Platform (Dataflow, BigQuery, Pub/Sub).
• Deep expertise in Apache Beam and Apache Spark optimization.
• Advanced SQL skills and experience with Airflow.
• Willingness to travel at least four times per year.

Culture & Benefits

• Opportunity to work at the forefront of modern technologies like 5G, IoT, and AI.
• Professional development within a leading telecommunications organization.
• Collaborative environment focused on innovation and technical excellence.
• Stable employment contract with a focus on long-term career growth.