Sr. Data Engineer

April 18

hims & hers

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hims & hers offers a modern approach to health and wellness.

201 - 500

Description

• Architect and develop data pipelines for optimizing performance, quality, and scalability • Design, develop, and own scalable data processing and integration pipelines • Develop testing frameworks and monitoring for improving data quality and reliability • Orchestrate data flow patterns across disparate tooling • Support analytics engineers and data analysts in building self-service analytics tools • Partner with various teams for data compliance, security policies, and machine learning models deployment • Support code versioning and deployments for data pipelines

Requirements

• 8+ years of professional experience designing scalable data pipelines using Python • Demonstrated experience writing clean, efficient Python code • Demonstrated experience writing complex SQL queries • Experience with cloud technologies like AWS/GCP • Experience with Databricks platform • Experience with IaC technologies like Terraform • Experience with data warehouses like BigQuery, Snowflake, Postgres • Experience with event streaming pipelines using Kafka • Experience with modern data stack tools like Airflow, Databricks, dbt, Fivetran • Experience with containers and container orchestration tools like Docker, Kubernetes • Experience with Machine Learning & MLOps • Experience with CI/CD tools like Jenkins, GitHub Actions, Circle CI • Thorough understanding of SDLC and Agile frameworks • Project management skills

Benefits

• Equity grant • Total Rewards package • Generous compensation