Data Engineer, Mapping
Core
Architect, build, and maintain scalable data pipelines and services to support route simulation, experimentation, analytics, and machine learning models for recommended routes and travel time estimations.
Role type
Senior Data Engineer (Mapping)
Builds
Scalable data pipelines, services, and tools for route simulation and travel time estimation
Domain
Ride-sharing / Geospatial data
Deliverable
production ML models | infrastructure
Required skills
Spark, Python, SQL, geospatial data querying, data modeling, schema evolution, ETL tooling, SQL performance tuning
Preferred skills
Experience with streaming technologies, data quality tools, Kubernetes, AWS
Technologies
AWS, Kubernetes, Apache Airflow, Spark, Kafka, Flink, S3, DynamoDB, HDFS, Hive, Presto, HBase, Parquet, Iceberg, Great Expectations, dbt, Monte Carlo, Soda, Collibra
Responsibilities
Own core data pipelines and scale data processing flow; Develop and manage SLAs for data pipelines and datasets; Evolve data models and schemas; Develop tools for self-service pipeline management; Write scalable and cost-efficient code; Conduct code reviews; Participate in on-call rotations
Seniority
Senior, hands-on IC
