🛠 Tech Stack

💼 About This Role

You'll lead the design and implementation of data engineering solutions on AWS for a hybrid team in Bangalore. Your core impact will be architecting scalable data pipelines using Spark and Python to support analytics and reporting.

🎯 What You'll Do

• Design and implement data engineering solutions on AWS cloud.
• Architect scalable data pipelines using Spark, PySpark, and Python.
• Create and maintain data models for business intelligence.
• Ensure data quality and performance optimization across pipelines.

📋 Requirements

• Overall 8+ years of experience in data engineering.
• Strong proficiency in Spark and PySpark.
• Expertise in SQL for large-scale data processing.
• Experience with AWS cloud services.

✨ Nice to Have

• Experience with Databricks Engineering.
• Knowledge of data governance practices.
• Familiarity with PL/SQL and T-SQL.

🚩 Heads Up

• Role title includes 'Lead' but expects 8+ years, which may be senior-level elsewhere.
• Department listed as 'AI & Data Engineering' but description focuses solely on data engineering.
• Mentorship responsibility without clear team size or management role definition.