aloyoga · Beverly Hills LAND, Beverly Hills, CA (HQ-L)
Skills: Python, SQL, AWS, CI/CD
WHY JOIN ALO? Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life. OVERVIEW We are looking for a Senior Data Engineer to build and scale the foundational data platform that powers analytics, real-time decisioning, and operational intelligence across Alo. This role is for an experienced builder who has delivered production-grade data systems across event ingestion, transformation, modeling, and serving and knows how to make them reusable, reliable, and scalable. You will build and extend the batch and real-time systems teams rely on to ingest, process, and act on data, enabling marketing automation, inventory intelligence, and order fulfillment visibility. RESPONSIBILITIES Build and operate core components of the data platform, primarily on AWS Implement and scale event-driven pipelines using Kinesis, Kafka, or similar Develop and extend Medallion architecture (Bronze/Silver/Gold) Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery) Support real-time marketing use cases (segmentation, triggers, personalization) Build data models and pipelines for inventory intelligence and allocation optimization Build pipelines for order lifecycle and SLA insights Apply and help improve standards for data modeling, testing, CI/CD, and observability Partner with cross-functional teams across business domains Mentor junior engineers and contribute to code review and design discussions QUALIFICATIONS Platforms & Infrastructure Cloud platforms (AWS, GCP, Azure) Event-driven and streaming pipelines CI/CD and infrastructure-as-code Data Engineering dbt, SQL, Python Batch and real-time pipelines Medallion architecture Experience 3-5+ years in data engineering…
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