Senior R&D Engineer

Job description

• Tools and Technologies • Extensive experience in GCP & AWS cloud platforms • Proficiency in Java+Python (Rust/Golang adds value) for rapid technology prototyping and evaluation. • Deep understanding of event-driven systems, real-time analytics, Open table formats, and AI/ML integration patterns in cloud-native environments. • Deep understanding of Parquet/Avro/ORC file formats, Apache Data Sketches & Roaring Bitmaps • Deep understanding in Data Structures & Algorithms • Deep Understanding of Databases like Cassandra, MongoDB, Aerospike, Clickhouse, BigQuery, Snowflake, Druid, Vector & Graph Databases like Apache Neo4j, TigerGraph • Deep understanding of Parque/Avro/ORC file formats, Apache Data Sketches & Roaring Bitmaps • Experience in building Data Platforms/Pipelines: Databricks, Apache Iceberg, Apache Hudi, Apache Kafka, Apache Spark, Apache Flink, Apache Trino, Apache Polaris/Project Nessie, Alluxio • Extensive experience with system benchmarking tools (YCSB, Sysbench, HammerDB), profiling frameworks, and cloud-native instrumentation stacks. Impact Metrics • Number of successful experimental prototypes incubated and adopted by engineering teams. • Published benchmarks, whitepapers, or technical reports that inform strategic technology decisions • Measurable improvements in platform scalability, reliability, or engagement attributed to research findings and new tech integrations.