Job description
Job Summary:Seeking a seasoned SQL + ETL Developer with 4+ years of experience in managing large-scale datasets and cloud-based data pipelines. The ideal candidate is hands-on with MySQL, PySpark, AWS Glue, and ETL workflows, with proven expertise in AWS migration and performance optimization.Key Responsibilities:Develop and optimize complex SQL queries and stored procedures to handle large datasets (100+ million records).Build and maintain scalable ETL pipelines using AWS Glue and PySpark.Work on data migration tasks in AWS environments.Monitor and improve database performance; automate key performance indicators and reports.Collaborate with cross-functional teams to support data integration and delivery requirements.Write shell scripts for automation and manage ETL jobs efficiently.Required Skills:Strong experience with MySQL, complex SQL queries, and stored procedures.Hands-on experience with AWS Glue, PySpark, and ETL processes.Good understanding of AWS ecosystem and migration strategies.Proficiency in shell scripting.Strong communication and collaboration skills.Nice to Have:Working knowledge of Python.Experience with AWS RDS.
Key skills
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