At ANTENNA, we’re building measurement & analytics tools for subscription businesses. In this new world of subscriptions, companies must focus on new success metrics like Sign-ups, Trial Conversion, Churn Rate, and Retention. But, given the lack of data transparency, it’s hard to know “what good looks like” in today’s world. ANTENNA provides best-in-class competitive intelligence that allows Subscription businesses to better decide where to focus their resources and better make key strategic decisions.
We’re looking for a Senior Data Engineer to take our MVP and build it into a best-in-class solution. In this role, you’ll be expected to ensure our data sources, pipeline, and analysis tools are working well and constantly evolving – and operate with a lot of autonomy.
Who You Are
- You love data – and enjoy pushing the boundaries of what insights can be gleaned from it.
- Proficiency in Python / Django / PostgreSQL.
- Proficiency in Google Cloud Platform.
- Proficiency in Kubernetes and Docker is a plus.
- Strong background in distributed data processing (e.g. Spark), software engineering design, and data modeling concepts.
- 5+ years of experience building complex data pipelines and data products.
- Experience with business intelligence (BI) products and deploying machine learning models is a plus.
- Quick to pick up new technologies.
- Strong in written and verbal communication.
What You’ll Do
- Create reliable data pipelines and build intuitive data products that allow our Data Analysts and Data Scientists to easily leverage data in a self-service manner.
- Design, build, and deploy streaming and batch data pipelines capable of processing and storing data quickly and reliably.
- Integrate with a variety of data sources such as email receipt data, credit card data, and more.
- Ensure data quality and build tools to detect and alert our team of any anomalies.
- Maintain an efficient data infrastructure.