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Location: Europe, Role Type: Fractional, Remote / Worldwide
Remote: Yes
Willing to relocate: Yes
Technologies: Kafka, Flink, Spark, Cassandra, Scala, Rust / PyO3 / Tokio, Python, Zookeeper, Databricks, Delta Lake, BigQuery, Redshift, Hive, Kinesis, Airbyte, Airflow, Temporal, DBT, Aerospike, Snowflake, PrestoSQL, Trino, Clickhouse, SQL, Vector DBs, Golang, gRPC/protobuf, Terraform, CUDA
Resume: https://drive.google.com/file/d/1lZuSpneLDVzzYoeaA8or-m5m2dfYAMB4/view
Email: in the profile
[Remote Worldwide, Fractional] I'm pursuing a role in the high-scalability distributed systems space. I'm a well-rounded Scala/Rust/Python dev, well-versed in data engineering, with deep knowledge of the internals of distributed datastores. I have experience with data modeling for high throughput database activity and a strong understanding of which workloads and data access patterns are scalable and what datastore the data should reside in. I have a highly confident ability to lead a data / MLops project from start to finish. Hire me as fractional data engineer.Core Focus Areas: ● Cassandra (Data Modeling, Troubleshooting Performance And Operational Issues) ● Apache Iceberg (Scaling, Tuning, Self-Hosted Setup) ● Stream Processing At Scale: Kafka, Flink, Spark Streaming, Storm ● Custom-Crafted Contextualized Embeddings, Vector-Based Semantic Search, Deep Intent Recognition In Search Engine Queries ● Languages: Scala, Rust, Python, SQL (proficient), Golang (ramping up) Educational Background: Computer Science. Solid experience working remotely and working with teams that are distributed geographically. I typically work Pacific Time hours. Ask: $385K base, pro-rated. |