Description

Lead data engineering initiatives by designing scalable cloud solutions and mentoring a small team of engineers.

This role is on-site.

Responsibilities

• Design and implement scalable cloud-based data solutions using AWS and Databricks for enterprise analytics.
• Build and maintain production data pipelines with strong governance, quality controls, and minimal manual intervention.
• Lead technical direction and roadmap execution, ensuring alignment with enterprise architecture standards.
• Provide day-to-day leadership, code reviews, and coaching for a small team of engineers.
• Use DevOps tooling (GitHub, Jenkins, Terraform, Liquibase) to streamline delivery and operations.

Required Skills

• 15+ years of experience in application program development and data engineering.
• Hands-on AWS experience including S3, EC2, RDS, VPC, and IAM.
• Proficiency in Python for modular, maintainable data engineering code.
• Experience building and operating data engineering workloads in Databricks.
• Strong understanding of data engineering fundamentals for scalable assets and pipelines.

Preferred Skills

• Experience with Spark for large-scale data processing.
• Familiarity with real-time or near-real-time analytics frameworks.

Key Skills

Education

Any Graduate