Job Title

Data EngineerCandidate with ETL and IAC expertiseExperience - 3-4 yearsKey Responsibilities:Design and implement data pipelines and ETL workflows using AWS Glue, migrating from legacy Python scripts on EC2.Work with AWS Organizations to manage and optimize a multi-account strategy with centralized governance and billing.Develop and enforce network and security policies including NACLs, VPCs, and VPN configurations.Implement and manage Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.Design, monitor, and maintain long-running ETL processes (16+ hours), ensuring fault tolerance and recovery.Migrate and integrate data using AWS DMS (Database Migration Service).Ensure proper data encryption and masking of sensitive data, including PII and PCI data, following best practices and compliance standards.Collaborate with security teams to enhance data security and governance frameworks.Integrate with tools like Coalesce for data modeling and transformation workflows.Optimize data storage and retrieval processes for scalability and performance.Required Skills & Experience:4+ years of experience in data engineering roles.Strong expertise in AWS services including Glue, DMS, EC2, VPC, IAM, S3, CloudWatch, and KMS.Solid understanding of networking and security in AWS, including NACLs, security groups, and VPNs.Hands-on experience with Python for scripting and data processing.Proven track record of migrating ETL workflows to serverless architectures.Experience with data masking, encryption, and compliance frameworks (e.g., GDPR, PCI-DSS).Familiarity with IaC tools like Terraform or AWS CloudFormation.Working knowledge of Coalesce or similar data orchestration platforms is a plus.Experience managing long-running data jobs and optimizing for cost and performance.