Senior Data Engineer

Skills

Required Qualifications

• Bachelor's degree in computer science, Information Technology, Data Engineering, Engineering, Information Systems, or a related discipline.

• Minimum 3+ years of experience in Data Engineering, Data Warehousing, Data Platform Engineering, or related roles.

• Strong hands-on experience in: 

o SQL

o Python

o PySpark

o Terraform

• Strong experience with AWS services.

• Experience designing and supporting enterprise Data Lake and Data Warehouse solutions.

• Experience working with Apache Iceberg tables and large-scale data processing platforms.

• Strong understanding of ETL/ELT methodologies, data modeling, and data integration techniques.

• Experience implementing Infrastructure as Code (IaC) using Terraform.

• Strong understanding of cloud security, IAM permissions, and access control principles.

• Experience planning, executing, and supporting Disaster Recovery (DR) activities, including failover testing, recovery validation, and business continuity processes.

• Knowledge of Agentic AI, Generative AI, and AI-assisted software development practices.

• Experience utilizing AI-powered coding assistants and modern AI development workflows to improve engineering productivity, accelerate delivery, and enhance code quality.

• Strong analytical, problem-solving, troubleshooting, and communication skills.

• Ability to work independently and collaboratively in a fast-paced environment