Description:

Lead the design and implementation of scalable distributed systems based on Java microservices.
Engineer and optimize data pipelines using technologies like Apache Hudi and Azure ADLS.
Collaborate with product, analytics, and AI teams to leverage data as a strategic asset.
Drive modernization efforts and best practices in data governance and performance tuning.
Foster a culture of quality through peer reviews and constructive feedback.

Requirements:

10+ years of experience in software or data engineering, with 4+ years focused on data pipelines.
Proven experience in mentoring engineers and delivering complex, high-scale solutions.
Strong understanding of event-driven architectures and distributed systems.
Practical experience with cloud platforms (AWS, Azure, GCP) and containerized deployments.
Fluency in data quality practices and CI/CD integration.
Experience with Lakehouse architectures and big data technologies (e.g., Apache Hudi, Trino).
Strong collaboration and communication skills.

Benefits starting from Day 1, including retirement plan matching and flexible paid time off.
Wellness support programs, parental and caregiver leaves, and continuous development support.

Skills

Benefits