Apply for AWS Glue & Amazon Security Lake Specialist Job

4 to 6 Years Relevant Experience

Key Responsibilities

1. Design and develop robust ETL/ELT pipelines using AWS Glue, Glue Studio, and Glue DataBrew.
2. Ingest, catalog, and process large volumes of structured and unstructured data.
3. Set up and maintain Amazon Security Lake to centralize multi-source security logs.
4. Optimize data lakes for cost, performance, and scalability using partitioning and data lifecycle strategies.
5. Collaborate with Security and DevOps teams to integrate logs with tools like Athena, OpenSearch, and SIEM platforms.
6. Build and maintain Glue Jobs and Crawlers for automated data processing and metadata cataloging.
7. Monitor and troubleshoot pipeline performance and cost efficiency.
8. Implement IAM roles, policies, and encryption mechanisms for secure access control.
9. Derive actionable insights from security data using Amazon Athena, QuickSight, or other BI tools.
10. Contribute to solution architecture and define best practices for cloud-native data processing and security.

Must-Have Skills

• Hands-on experience with AWS Glue, including Glue Studio and DataBrew.
• Proficiency in Amazon Security Lake for managing centralized security log data.
• Strong development skills in Python, PySpark, or Scala for building scalable ETL/ELT pipelines.
• Understanding of cloud data governance, compliance, and security best practices.
• Experience in data partitioning, lifecycle policies, and performance tuning of AWS-based data lakes.

Good-to-Have Skills

• AWS Certification (Developer, Data Analytics, or Security).
• Background in security operations, incident response, or SIEM integrations.