🛠 Tech Stack

💼 About This Role

In this role, you'll lead the design and implementation of scalable data systems that power decision-making across finance, operations, and analytics. You'll build modern data pipelines and optimize cloud-based warehouses to transform complex data into actionable insights, working closely with cross-functional teams.

🎯 What You'll Do

• Lead design and optimization of data warehouses and ETL/ELT pipelines
• Translate business needs into structured, data-driven solutions
• Build automated reporting systems for accuracy and timeliness
• Develop dashboards for financial and operational reporting

📋 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field
• 5+ years experience in data engineering or analytics engineering
• Strong SQL expertise and ETL/ELT pipeline experience
• Cloud data platform experience (Snowflake, Redshift, BigQuery, or Azure Synapse)

✨ Nice to Have

• Experience with BI tools like Power BI, Tableau, or Looker
• Proficiency in Python or other scripting language
• Experience with financial or operational datasets

🎁 Benefits & Perks

• 💰 Competitive compensation aligned with experience
• 🚀 High-impact projects in portfolio-wide data transformation
• 🛠️ Exposure to modern cloud data platforms and analytics technologies
• 🤝 Collaborative environment with finance and analytics experts
• 📈 Career growth in data engineering and strategy leadership

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min