Senior Data Engineer

Your Role & Mission
As a data engineer, you will be responsible for maintaining and operating the data warehouse and connecting in Apollo's data sources.
Daily Adventures and Responsibilities
• 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 (restartable/graceful failures) 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, contributes 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
Competencies
• Excellent communication skills to work with engineering, product and business owners to develop and define key business questions and build data sets that answer those questions.
• Self-motivated and self-directed
• Inquisitive, able to ask questions and dig deeper
• Organised, diligent, and great attention to detail
• Acts with the utmost integrity
• Genuinely curious and open; loves learning
• Critical thinking and proven problem-solving skills required
Skills & Relevant Experience
Required: 
• Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
• Experience in data modeling, data warehousing, and building ETL pipelines
• Deep knowledge of data warehousing with an ability to collaborate cross-functionally
Preferred:
 
• 4+ years experience in data engineering or a similar role
• 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