🛠 Tech Stack

💼 About This Role

You'll work with large-scale datasets to generate actionable insights for pricing and business performance. You'll collaborate with cross-functional stakeholders, leveraging modern cloud technologies and advanced data processing frameworks to build scalable solutions. This role combines technical depth with meaningful business impact.

🎯 What You'll Do

• Collect, transform, validate, and analyze large volumes of data for pricing analytics.
• Design, build, and optimize scalable ETL/ELT pipelines using SQL, Python, PySpark or Snowpark.
• Build and maintain cloud-based data solutions on Snowflake for performance and reliability.
• Collaborate with stakeholders to translate analytical requirements into technical solutions.

📋 Requirements

• 3+ years experience in data analytics or data engineering.
• Strong expertise in SQL including advanced joins and query optimization.
• Hands-on experience with Snowflake including data warehousing and query tuning.
• Proficiency in Python for data processing and automation.

✨ Nice to Have

• Experience with distributed processing tools like PySpark or Snowpark.
• Understanding of MLOps concepts and CI/CD pipelines.
• Familiarity with GitHub workflows and collaborative development.

🎁 Benefits & Perks

• 💵 Competitive salary and comprehensive benefits plan.
• 🏠 Flexible remote or hybrid work options within India.
• 📚 Access to learning resources including certifications and training.
• 🌍 Global career growth opportunities in an innovation-driven organization.
• 🤝 Collaborative and inclusive work culture focused on diversity.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Final Round· 60 min