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 (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.
Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
5+ years experience in data engineering or in data facing role
~ Experience in data modeling, data warehousing, and building ETL pipelines
~ Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
~ Proven experience leveraging AI tools by demonstrating fluency in integrating AI-driven solutions into their workflows and a willingness to stay current with emerging AI technologies
Experience using the Python data stack
Experience deploying and managing data pipelines in the cloud (preferably AWS or GCP)
Experience working with technologies like Airflow, Hadoop and Spark
Understanding of streaming technologies like Kafka, Spark Streaming
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.
Contract of employment (Polish UoP via Remote.com) + AKUP 50% tax deductible costs with 70% creativity factor
~100% remote work (we don't have offices and we don't plan to have them) - no hybrid, no forcing people to get back to the offices
~ Global Allianz Insurance and Medical Package covered by Apollo
~300 USD Work From Home Stipend
~4 additional PTO days for Engineering (Rest Days)
~100% remote work and flexible working hours
OUR TECH STACK
~ Ruby/RoR, Python, React.js, Typescript, Redux, MongoDB, Elasticsearch, Ansible, Terraform, Grafana, Kibana, Docker, Kubernetes, GCP.
Besides the great compensation package and culture that thrives in openness and excellence, we invest tremendous effort into developing our remote employees' careers.
You'll be a significant part of a lean, remote team, empowered to really own your role as a proactive educator.
We're very collaborative at Apollo, so you'll be able to lean on your teammates, even in adjacent departments, to help you achieve lofty goals.
You'll be supported and encouraged to experiment and take educated risks that lead to big wins.
And, you'll have a whole team remotely by your side to help you do it!
io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises.
Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform.
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