How Remoteville checks and expires listings
Senior Data Engineer
Skills
Computer ScienceData EngineeringCritical ThinkingData ModelingData ModelsData QualityData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years experience in data engineering or in data facing role
- Experience in data modeling, data warehousing, and building ETL pipelines
- Deep knowledge of data warehousing with an ability to collaborate cross-functionally
- Bachelor's degree in a quantitative field (Physical/Computer Science, Engineering or Mathematics / Statistics)
Nice to have
- Experience using the Python data stack
- Experience deploying and managing data pipelines in the cloud
- Experience working with technologies like Airflow, Hadoop and Spark
- Understanding of streaming technologies like Kafka, Spark Streaming
Day to day
- As a Senior Data Engineer, you will be responsible for maintaining and operating the data warehouse and connecting in Apollo’s data sources.
- Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity.
- Implement automated monitoring, alerting, self-healing features while building the consumption pipelines.
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
- Write unit/integration tests, contribute to engineering wiki and document work.
- Define company data models and write jobs to populate data models in our data warehouse.
- Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
