Data Engineer (AWS Cloud)

Key Responsibilities:
Develop and maintain scalable ETL pipelines within the AWS ecosystem.
Conduct ETL testing to ensure data integrity, accuracy, and performance.
Lead and support large-scale cloud migration efforts.
Use Python to develop custom scripts and automate processes.
Collaborate with cross-functional teams to design efficient data solutions.
Monitor, troubleshoot, and optimize data workflows for reliability and performance.
Ensure a smooth transition of data during cloud migrations.

Qualifications:
5-10+ years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development.
Strong hands-on experience in AWS services (S3, Redshift, Glue, Lambda).
Proficiency in ETL testing and methodologies.
Advanced skills in Python for data processing and automation.
Knowledge of cloud migration strategies and best practices.
Excellent problem-solving skills with the ability to troubleshoot complex data issues.