Description

You will design and lead the implementation of scalable data architectures, ETL/ELT pipelines, and cloud data platforms on AWS.

This role is on-site.

Responsibilities

• Architect and implement robust ETL/ELT solutions using AWS data services and distributed processing frameworks.
• Lead technical teams and drive data engineering initiatives, ensuring high-quality data delivery for analytics and AI/ML workloads.
• Establish and enforce data governance, security, and compliance standards across the data lifecycle.
• Build and maintain CI/CD pipelines and Infrastructure as Code for data platform reliability.
• Optimize cloud-based data lakes and warehouses for performance and cost efficiency.

Required Skills

• 8+ years of experience in data engineering, ETL development, or data architecture.
• 3+ years of experience leading technical teams or serving in a technical lead capacity.
• Strong hands-on experience with AWS cloud services, including data lakes, data warehouses, and distributed computing.
• Deep expertise in ETL/ELT architecture and implementation.
• Proficiency in SQL and Python for data manipulation and automation.
• Experience with DevOps practices, CI/CD pipelines, and Infrastructure as Code.
• Understanding of data governance, security, and compliance best practices.

Preferred Skills

• AWS Certified Solutions Architect or AWS Data Analytics Specialty certification.
• Familiarity with Apache Spark and distributed computing frameworks.
• Experience supporting analytics, reporting, and AI/ML workloads in regulated industries (utilities, energy, healthcare, or financial services).

Key Skills

Education

Bachelor's degree