Data Engineer
Summary
Designs and optimizes SQL queries, builds ETL pipelines with AWS Glue/S3, and develops Python-based data solutions for scalable data warehousing.
Proficient in writing and optimizing SQL queries. Excellent working knowledge with SQL-based databases (Redshift, PostgreSQL, MySQL) and data warehousing platforms. Hands-on experience with ETL (Extract, Transform, Load) processes. Expertise in AWS services, including AWS Glue and S3, for data processing and storage. Conduct data investigations to resolve technical, procedural, and operational issues. Solve complex business problems using disciplined development methodologies to produce scalable, flexible, efficient, and supportable solutions. Excellent programming skills in Python, with the capability to develop small to medium web applications. Should take full ownership of the change request, including requirement analysis, design, and end-to-end delivery, ensuring successful implementation with complete accountability.