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Popular mid-level data role with broad AWS/SQL/Python requirements increases candidate competition.
Core data engineering skills (SQL, ETL, Python, AWS) are broadly transferable across industries.
Multiple mandatory technical skills (AWS Glue, Redshift, ETL, Python) increase filtering despite no years requirement.
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Own end-to-end delivery of change requests including requirement analysis, design, and implementation with full accountability.
Develop and optimize SQL queries and ETL processes leveraging AWS services such as AWS Glue and S3 for data processing and storage.
Resolve technical and operational data issues through investigations and apply disciplined methods to solve complex business problems with scalable solutions.
Proficient in SQL and writing optimized queries for databases like Redshift, PostgreSQL, and MySQL.
Hands-on experience with ETL processes and data warehousing platforms.
Expertise in AWS services, specifically AWS Glue and S3.
Programming skills in Python capable of developing small to medium web applications.
Operates with full ownership mindset for end-to-end solution delivery.
Experienced working with cloud-based data platforms and strong SQL and ETL background.
Capable of addressing complex technical and business challenges with disciplined development methodologies.