role involves working with modern cloud and DevOps tools to deliver scalable, efficient data processing and workflow automation systems.
Design, develop, and maintain data pipelines and ETL processes
Write and optimize SQL queries for data extraction, transformation, and analysis
Develop data processing solutions using Python libraries and frameworks
Implement and manage automation workflows using Power Automate
Use GitHub and GitHub Actions for version control and CI/CD
Provision and manage cloud infrastructure using AWS CDK, Terraform
Optimize database design, performance, and scalability
Collaborate with cross-functional teams to understand data and automation requirements
Ensure data quality, security, and best engineering practices
Strong proficiency in Python for data engineering and processing
Advanced SQL skills (querying, optimization, database design)
Experience with Power Automate
Expertise with GitHub and GitHub Actions
Hands-on experience with AWS CDK, Terraform, or similar IaC tools
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