Key skills
AirflowAWSCloudETLPythonSDLCAIGenerative AIELTData EngineeringAnalyticsSnowflakedbtCollaboration
About this role
Role Overview
- Formulate production-grade data engineering solutions for data and analytics platforms
- Architect and implement reliable ETL, ELT, and streaming data ingestion processes
- Develop, maintain, and containerize data applications and utility scripts using Python
- Improve data ingestion architecture focusing on quality and performance
- Define engineering standards for the data team
- Instrument data analytics platforms with metrics and alerting for high availability
- Leverage AI development tools to enhance engineering workflows
- Collaborate with data science teams for Generative AI applications
- Integrate data from disparate production systems for analysts and scientists
- Align technical data development with core business processes
Requirements
- 8+ years of expertise in Data Architecture & Enterprise Modeling
- Advanced Data Transformations
- Production SDLC & Workflow Best Practices
- Data Governance & Security
- 3+ to 6+ years of strong Technical Experience in Advanced Python Development
- AWS Platform & Containerization
- Snowflake Data Cloud
- dbt (Data Build Tool)
- Familiarity with Orchestration & Scheduling tools like Prefect or Airflow
- Familiarity with Data Replication tools such as Qlik Replicate
- Soft Skills & Collaboration
- A 'Product-First' Mindset
- Collaborative Drive
- Technical Curiosity
Tech Stack
- Airflow
- AWS
- Cloud
- ETL
- Python
- SDLC
Benefits
- Health insurance (Medical, Dental, Vision)
- 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%
- Paid Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- Up to $30,000 in Adoption Assistance
- Up to three weeks of vacation annually
- Generous Holiday, Sick Leave, and Personal Day policies
- New Hire Referral Bonus Program
- Home Purchase Discounts
- Everyone’s Included Day