YOUR ROLE AND MISSION:

As a data engineer, you will be responsible for maintaining and operating the data warehouse and connecting in Apollos data sources.

DAILY ADVENTURES/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

• Organized, 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

QUALIFICATIONS:

Required:

• Bachelors 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:

• 2+ 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