🛠 Tech Stack

💼 About This Role

Lead a team of data engineers to build and maintain scalable data pipelines on AWS for a hybrid environment. You'll design and optimize data architectures using Spark, Athena, and Redshift to drive business insights.

🎯 What You'll Do

• Design and implement data pipelines using AWS services
• Optimize Spark jobs and SQL queries for performance
• Manage data storage and processing on Redshift and EMR
• Ensure data quality and governance with Macie and CloudWatch

📋 Requirements

• 5+ years of data engineering experience
• Expertise in Spark with Scala
• Hands-on with AWS services like Athena, Redshift, EMR
• Experience with CI/CD and infrastructure as code

✨ Nice to Have

• Knowledge of DynamoDB and API Gateway
• Experience with DMS and SCT for migrations
• Familiarity with Oozie for workflow scheduling

🎁 Benefits & Perks

• 🏥 Health Insurance
• 💰 Performance Bonus
• 🏖️ Paid Time Off
• 📈 Stock Options