AWS Data Engineer with Stored Procedures Experience

• Hands-on experience writing SQL, some ETL, PySpark, and building/maintaining stored procedures • Ability to analyze existing code and improve data ingestion pipelines • Solid database experience with strong query optimization skills • Clear understanding of AWS ecosystem (Aurora, data platforms, ingestion methods) • Ability to accurately explain current platforms, data flows, and data access methods • Lead the design and implementation of scalable data pipelines and infrastructure on AWS. • Work with relational databases such as Amazon Aurora and serverless technologies like AWS Lambda. • Write and optimize complex SQL queries for data extraction, transformation, and analysis. • Collaborate with cross-functional teams to understand data requirements and deliver solutions. • Mentor junior engineers and provide technical leadership across projects. • Ensure data quality, integrity, and security across all systems. • Troubleshoot and resolve data-related issues with a problem-solving mindset. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Required Qualifications: • Proven experience with AWS services (e.g., Lambda, Aurora, S3, etc.). • Strong proficiency in SQL and working with relational databases. • Excellent problem-solving skills and analytical thinking. • Experience leading data engineering teams or projects. • Ability to work independently and manage multiple priorities. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Preferred Qualifications: not mandatory • Experience or Knowledge with AWS EMR and AWS Glue is a plus. • Familiarity with Java for backend or data pipeline development. • Experience with OpenSearch or similar search technologies. • Knowledge of data modeling, ETL frameworks, and performance tuning.