Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities.
Build and optimize efficient streaming and batch data pipelines that support our core product and API.
Design scalable storage solutions for handling petabytes of IoT and time-series data.
Develop and maintain real-time data systems to ingest growing data volumes.
Implement distributed tracing, data lineage and observability patterns to improve monitoring and troubleshooting.
Write clean, maintainable code in Java and Python for various platform components.
Shape architectural decisions to ensure scalability and reliability throughout the data platform.

Requirements

3+ years of experience in platform engineering or data engineering.
2+ years of experience designing and optimizing data pipelines at TB to PB scale.
Proficient in Java, with a focus on clean, maintainable code.
Strong system design skills with a focus on big data and real-time workflows.
Familiarity with lake-house architectures (e.g., Iceberg, Delta, Paimon).
Experience with real-time data processing tools like Kafka, Flink and Spark.
Knowledge of distributed systems and large-scale data challenges.
Strong problem-solving skills and a collaborative mindset.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaPythondata pipelinesreal-time data processingsystem designbig datalake-house architecturesdistributed systemsdata replicationdata storage

Soft Skills

problem-solvingcollaborative mindset