🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable data pipelines using Apache Spark and GCP to power analytics for Finance, PRS, and Marketing teams. You'll own data quality and reliability across the full lifecycle, enabling data-driven decisions at scale.

🎯 What You'll Do

• Design and maintain batch and near real-time data pipelines
• Implement ETL/ELT workflows from multiple data sources
• Optimize data processing with distributed computing frameworks
• Monitor pipeline performance and resolve data quality issues

📋 Requirements

• 5–7 years of hands-on data engineering experience
• Strong experience with Apache Spark
• Proficiency in Python and SQL
• Hands-on with Google Cloud Platform (GCS, BigQuery, Dataproc)

✨ Nice to Have

• Experience with Java or Scala
• Knowledge of data governance and security practices
• Experience integrating heterogeneous data sources

🎁 Benefits & Perks

• 🏖️ Flexible work options
• 💰 Performance bonuses
• 📚 Learning & development opportunities
• 🏥 Health insurance coverage

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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