DevOps / Data Platform Engineer

• Infrastructure & Automation: Build, automate, and maintain AWS infrastructure (S3, networking, security) using Terraform to minimize manual deployment tasks.
• Data Ingestion & CDC: Support the onboarding of SQL Server and MongoDB data sources into the data lake. Configure, deploy, and troubleshoot Fivetran connectors and CDC-based database replication for both initial loads and ongoing pipelines.
• Data Storage Engineering: Build and maintain data lake storage patterns using Amazon S3 and Parquet.
• Pipeline & Platform Utilities: Develop Python scripts and utilities for operational validation, platform automation, schema checks, and deployment tasks.
• CI/CD & Operational Health: Build and maintain CI/CD pipelines for data platform components. Implement monitoring, alerting, logging, and health checks across the pipeline.
• Troubleshooting & Operations: Diagnose issues across source databases, Fivetran connectors, AWS infrastructure, and downstream pipelines. Document deployment procedures, runbooks, and configuration standards.
• Client Onboarding: Support production deployments and the onboarding of additional client environments.

• AWS Expertise: Hands-on experience with S3, VPC/networking, IAM security, and infrastructure automation.
• Infrastructure as Code (IaC): Strong experience with Terraform and automated environment provisioning.
• CI/CD: Experience building and maintaining pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
• Python Development: Strong Python scripting capabilities for automation, data validation, and platform tooling.
• Database Experience: Practical experience working with SQL Server and MongoDB.
• Data Storage: Deep understanding of Parquet file formats and S3 data lake storage patterns.
• Operations & Observability: Solid background in production operations, logging, alerting, and end-to-end incident troubleshooting.

Preferred Skills:

• Hands-on experience with Fivetran (connector deployment, CDC configuration, and troubleshooting).
• Experience with Snowflake or data lakehouse architectures, table formats, and data catalogs.
• Familiarity with database replication technologies and high-volume production databases.
• Experience supporting multi-tenant or multi-client enterprise data platforms.

Education:

• Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Note: GlobalLogic estimates the starting pay range for this role to be performed remotely to be $120,000 to $130,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.