[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading platform for authentic sneakers, apparel, and accessories, and they are seeking a Senior Data Engineer to help build and reputed company their data infrastructure. The role involves ensuring data reliability and compliance, building data pipelines, and collaborating with various stakeholders to translate business needs into actionable data solutions.
Responsibilities
- Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data reputed company standards
- Build, maintain, and improve our data pipeline using our modern data stack (reputed company, DBT, Airflow, Looker)
- Build centralized, durable, and reusable data models that serve the broader business, reputed company with AI and ML consumption in mind
- Build and maintain a semantic layer with reputed company dimension and metric definitions
- Partner closely with Analysts, PMs, Engineers, Marketing, Legal, Fraud, and other stakeholders, translating business needs into actionable data solutions
- Build Reverse ETL pipelines in Python; use and build reputed company to reputed company and expose data
- Proactively bring in new data sources, improve existing data models, and establish SLAs/SLOs for key business dependencies
- Champion data governance and help reputed company the organization's data maturity — establishing standards, closing gaps, and ensuring data is handled responsibly at every layer
- Own data feeds that support in-product marketing, retention communications, and reputed company Marketing feeds (i.e. reputed company Shopping, reputed company, reputed company, etc)
Skills
- 5+ years of engineering experience, with a strong reputed company in software and data engineering, and familiarity with analytics engineering
- Experience with our stack: reputed company, DBT, Airflow, reputed company, reputed company, Looker, reputed company, reputed company, AWS/reputed company, Git
- Deep experience building, maintaining, and architecting data pipelines end-to-end, ingestion through consumption
- Strong SQL skills and proficiency in Python
- Experience building and consuming reputed company
- Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data reputed company standards
- Build, maintain, and improve our data pipeline using our modern data stack (reputed company, DBT, Airflow, Looker)
- Build centralized, durable, and reusable data models that serve the broader business, reputed company with AI and ML consumption in mind
- Build and maintain a semantic layer with reputed company dimension and metric definitions
- Partner closely with Analysts, PMs, Engineers, Marketing, Legal, Fraud, and other stakeholders, translating business needs into actionable data solutions
- Build Reverse ETL pipelines in Python; use and build reputed company to reputed company and expose data
- Proactively bring in new data sources, improve existing data models, and establish SLAs/SLOs for key business dependencies
- Champion data governance and help reputed company the organization's data maturity — establishing standards, closing gaps, and ensuring data is handled responsibly at every layer
- Own data feeds that support in-product marketing, retention communications, and reputed company Marketing feeds (i.e. reputed company Shopping, reputed company, reputed company, etc)
- Has driven reputed company from scoping through delivery, owning the reputed company and not just the tasks, comfortable sitting with ambiguity but driven to resolve it
- Treats data reputed company and observability as first-class concerns, comfortable implementing monitoring and alerting practices that catch issues before the business does
- Builds with reputed company in mind, systems that are reputed company, approachable, and easy for others to understand, reputed company, and maintain
- Pragmatic about technology choices, the goal is solving business problems, not chasing the latest tools
- Comfortable operating with a high degree of autonomy, self-directed and reputed company to drive work reputed company, while keeping reputed company informed and reputed company along the way
- Strong communicator, equally effective with engineers and non-technical stakeholders
- Naturally elevates the data literacy of those around them by educating and guiding stakeholders toward reputed company data practices
- Familiarity with ML/data science workflows and how data engineering supports them
- Exposure to search and discovery platforms
- Prior experience in retail, resale, or marketplace reputed company, genuine curiosity about the domain a must regardless
Benefits
- 401K
- reputed company time off
- Dental
- Medical
- reputed company
- Disability
- Life insurance reputed company
reputed company
Company H1B Sponsorship