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Job Description
Position: Senior Data Engineer
Department: Engineering
Reports to: SVP, Technology
Level: L7
Job Family: Engineering
Location: Remote (LATAM)
Essential Responsibilities
- Architect and develop robust backend data models to support analytics across various teams such as Marketing, Sales, Finance, Operations, and Customer Success.
- Design, develop, and optimize data pipelines, models, workflows, and complex queries to generate actionable insights from large datasets.
- Serve as a technical leader, providing mentorship and guidance on analytics initiatives and data storytelling.
- Collaborate with cross-functional teams to capture requirements and translate them into scalable data architectures.
- Diagnose, troubleshoot, and resolve data quality issues to ensure accuracy and reliability in analytics and reporting.
Qualifications
- 6+ years of experience in data engineering, preferably in eCommerce or subscription-based businesses.
- Expertise with modern data warehouses/lakes (Snowflake, Trino, Redshift, BigQuery) and strong SQL skills.
- Skilled in relational database design, data modeling, and maintaining data integrity.
- Proficient with dbt and experienced in building reusable, tested datasets with rigorous data quality checks.
- Experience with API integrations, ERPs (e.g., NetSuite), forecasting platforms, and Customer Data Platforms.
- Operational experience with reverse ETLs and enabling business teams through operationalized analytics data.
- Knowledge of website experimentation, A/B testing, CRO, and marketing analytics platforms.
- Strong skills in data visualization tools (Omni, Looker or similar) and excellent communication skills.
- Experience with version control systems (GitHub, Bitbucket, GitLab), CI/CD pipelines, and ensuring data infrastructure reliability.
Additional Skills
- Hands-on experience with predictive modeling using R or Python.
Technical Stack
Snowflake, Fivetran, dbt, Omni, NetSuite, Crisp, Hex
Why Join Us?
Influence a key part of our technology strategy, impacting company growth and decision-making.
Enjoy a collaborative environment that values your expertise and supports your professional growth.
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Technology, Information, and Internet
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