Data Engineer
Oakland, California, United States
Babylist
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The Data Team at Babylist powers data-driven decision making through all aspects of the company’s business. We are not a service team. We are a product function with a strong focus on 3 core aspects of data -- engineering, analysis, and data science. We are looking for a Data Engineer to build and scale our core data platform. This work and the role is foundational for our team and strategic for our business.
You are a dedicated professional whose interests lie on the cusp of data engineering, data architecture and DevOps. You like getting things done and building them right. You will work cross-functionally with our product managers, analysts, data scientists, and business functions.
As a Data Engineer, you will be joining a small but growing data team at Babylist and will directly shape the data vision for the company through your work. You will hone your craft as a data professional while working on a state-of-the-art data stack and being mentored by senior engineers.
What You’ll Do:
You will be responsible for building and scaling data tools for our analytics and data scientist team members that enable us to build high quality data products for Babylist. These include
- Custom and third-party data pipelines for analytics
- Internal APIs to surface our machine learning products
- Infrastructure for machine learning models
- Data Quality, Monitoring and SLA
What You’ve Done:
- 2+ years hands-on experience writing and deploying production grade code
- Solid experience with an object-oriented scripting language like Python
- Familiar with data orchestration tools like Airflow, dbt, etc
- Strong understanding of data modeling/ETL principles and modern data warehousing systems like Redshift and Snowflake
- Devops in disguise: Comfortable with the AWS ecosystem including managing and deploying cloud data resources (EMR, EC2, RDS, S3, Athena, Lambda, Spark)
- Experience integrating data from multiple sources including third-party APIs is preferred
- Knowledge of commonly used third-party analytics tools like Periscope, Tableau, Segment, ThoughtSpot
Tags: Airflow APIs Athena AWS Data pipelines Data Warehousing DevOps EC2 Engineering ETL Lambda Machine Learning ML models Periscope Pipelines Python Redshift Snowflake Spark Tableau
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