🛠 Tech Stack

💼 About This Role

You'll build scalable data pipelines and self-serve analytics platforms at Truecaller, trusted by 450M+ users. You'll collaborate with data scientists and analysts to empower product teams with data-driven decisions.

🎯 What You'll Do

• Design and maintain scalable data pipelines for real-time and batch processing.
• Own ETL pipelines and ensure data quality and consistency.
• Collaborate with data scientists and analysts to translate requirements into ETL solutions.
• Architect and optimize data systems for performance and reliability.

📋 Requirements

• 6+ years of experience as a Data Engineer.
• Hands-on with Airflow for production workflows.
• Proficiency in PySpark and Spark with Scala.
• Experience with GCP services like BigQuery and Cloud Storage.

✨ Nice to Have

• Familiarity with event-driven architecture and microservices.
• Experience with GCP-native analytics tools like Looker.
• Knowledge of real-time processing with Flink or Kafka Streams.

🎁 Benefits & Perks

• 📚 Learning and development allowance
• 💰 Voluntary provident fund (VPF) or NPS option
• 👶 Creche allowance
• 💻 Choose your preferred computer and phone

🚩 Heads Up

• Extensive tech stack requirement with many GCP-specific tools
• Mix of data engineering and ML model lifecycle management in same role