🛠 Tech Stack

💼 About This Role

You'll work at the intersection of data engineering and business analytics to enable data-driven decisions. You'll analyze large datasets to uncover insights that optimize network performance and support strategic goals. You'll build robust data pipelines and scalable models while partnering with cross-functional teams.

🎯 What You'll Do

• Analyze large datasets for trends and optimization opportunities.
• Design and maintain scalable data pipelines and ETL workflows.
• Build interactive dashboards for monitoring performance.
• Automate repetitive data processes and improve workflows.

📋 Requirements

• 4-6 years in data engineering or analytics role.
• Advanced SQL proficiency for querying and optimization.
• Hands-on experience with Python, Spark, and ETL frameworks.
• Experience with Snowflake or similar data warehousing.

✨ Nice to Have

• Logistics or network analytics background.
• Proficiency in Power BI or Tableau.

🎁 Benefits & Perks

• 🏖️ Fully remote work for flexibility and balance.
• 📊 Work with large-scale, complex datasets globally.
• ⚙️ Exposure to modern data stack and advanced tools.
• 🤝 Collaborative and cross-functional culture.
• 📈 Career growth in data engineering and analytics.

📨 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