Senior Data Engineer
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Your Role & Mission
As a Senior 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
• 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
Skills & Relevant Experience
Required:
• 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)
Preferred:
• 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
Senior Data Engineer
To see similar active jobs please follow this link: Remote Development jobs
Your Role & Mission
As a Senior 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
• 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
Skills & Relevant Experience
Required:
• 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)
Preferred:
• 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