🛠 Tech Stack

💼 About This Role

You'll design and implement scalable data architectures on AWS, building robust data pipelines with Spark and EMR. You'll optimize data flows and ensure security using AWS tools like Macie and CloudFormation.

🎯 What You'll Do

• Design scalable data architectures on AWS using EMR, Redshift, DynamoDB, Kinesis
• Develop data pipelines with Spark (Scala), Oozie, and AWS Glue
• Configure and optimize AWS services including Athena, Open Search, CloudWatch
• Manage data flows with SNS, SQS, API Gateway, DMS ensuring integrity and compliance

📋 Requirements

• 7-10 years experience in data architecture and AWS data engineering
• Advanced proficiency with AWS services including Athena, SNS, SQS, CloudWatch, Macie, Kinesis, CloudFormation, EMR, Open Search, DynamoDB, API Gateway, SCT, Redshift, DMS
• Expertise in Spark with Scala for large-scale data processing
• Hands-on experience with Oozie for workflow orchestration

✨ Nice to Have

• Experience with machine learning pipelines on AWS
• Knowledge of AWS Glue and QuickSight
• Familiarity with Docker and Kubernetes

🚩 Heads Up

• Salary not mentioned in listing
• Long list of required skills (10) may indicate unrealistic expectations