Responsibilities:
- Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset
- Work closely with our data science team to run ML models on top of billions of data points
- Build supporting data services and applications to orchestrate and monitor our data systems
Some technology you will use:
- Cloud platform - GCP
- Programming languages - Java, Python, and Kotlin
- Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra
- Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark
- Orchestration - Airflow
Requirements:
- 4-8 years of professional data engineering experience
- Significant experience working with Apache Beam/Spark/Flink or MapReduce
- Strong Object-oriented programming ability
- Expert knowledge of distributed data processing
- Familiarity with different datastores, their differences, and appropriate usages
- Experience at a sub-200 person company
- You communicate as well as you code
- You can simplify complex problems into simple solutions
- You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
- You are comfortable making trade-offs between quality, complexity, and speed-of-delivery
Preferred Qualifications:
- Proven experience taking a large project from ideation to production
- Experience leading greenfield projects
- Working knowledge of cloud-native data engineering infrastructure
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