Senior Data Engineer

📋 Description

• Design and Develop Scalable Platforms: Build and maintain scalable data platforms using AWS
• Infrastructure as Code: Utilize Terraform to manage infrastructure as code, ensuring consistent and
• CI/CD Management: Develop and maintain CI/CD pipelines for data platform applications using GitHub
• AI/ML Infrastructure: Engineer robust data pipelines that fuel high-performance AI and ML models by
• Data Governance & Strategy: Implement comprehensive data governance frameworks to ensure data
• Security & Compliance: Conduct vulnerability scans, apply necessary patches, and ensure data

🎯 Requirements

• 5+ years of professional experience in a data engineering or full-stack role.
• Expert-level knowledge of SQL, ETL tools such as Airflow and dbt, and relational/columnar MPP
• Hands-on experience with AWS (S3, Lambda, EMR, EC2, EKS).
• Experience with lakehouse architectures (Databricks) and file formats like Iceberg and Delta.
• Proficiency with Docker and Kubernetes for packaging and distributing applications.
• Excellent oral and written communication skills for both technical and non-technical audiences.