🛠 Tech Stack

💼 About This Role

You'll partner with catalog and cross-functional teams to translate business needs into scalable data solutions, building and maintaining robust data pipelines and dashboards. Your core impact is ensuring data reliability and enabling data-driven decision-making across the organization. This role combines senior-level business analysis with strong data engineering expertise at a leading e-commerce company.

🎯 What You'll Do

• Design and maintain scalable ETL/ELT pipelines and data lake architecture.
• Develop new data ingestion pipelines integrating external APIs using Python.
• Implement data quality checks and validation rules to prevent downstream issues.
• Optimize SQL queries in Snowflake or BigQuery for performance and cost efficiency.

📋 Requirements

• Strong business analysis skills to connect data to business impact.
• Proven experience in data engineering with ETL/ELT pipelines and data modeling.
• Advanced SQL with optimization in modern warehouses like Snowflake or BigQuery.
• Proficiency in Python for data processing and API integrations.

✨ Nice to Have

• Experience with data quality frameworks and monitoring tools.
• Experience with data lineage documentation.
• Familiarity with cloud platforms (AWS, GCP, Azure).

🎁 Benefits & Perks

• 🏖️ Generous PTO and flexible work culture.
• 💰 Competitive compensation and equity.
• 🏥 Health insurance coverage.
• 📚 Learning and development opportunities.
• 🚗 Commuter benefits.

📨 Hiring Process

Estimated timeline: 3-5 weeks

1. 1Application Review· 1 week
2. 2Phone Interview· 30 min
3. 3Onsite Interview· 4 hours
4. 4Offer· 1 week