AWS Data Engineer

We’re hiring a Senior AWS Data Engineer to support a large-scale data modernization initiative. This role focuses on unifying and transforming data from legacy systems into scalable, cloud-based solutions using AWS. The ideal candidate is highly experienced, hands-on, and comfortable working independently in complex data environments. What You’ll Do • Design, build, and maintain AWS-based data pipelines to support enterprise data initiatives • Develop and optimize ETL processes to integrate data from multiple legacy systems • Use PySpark and Python to process and transform large datasets • Write and optimize advanced SQL queries for data analysis, profiling, and validation • Perform deep data analysis to understand source data, relationships, and quality issues • Partner with stakeholders to gather and manage technical requirements • Test, troubleshoot, and enhance existing data models and pipelines • Contribute ideas around AI-driven approaches (including agents) to improve data workflows Required Skills & Experience • 12+ years of overall professional experience • 6+ years of hands-on Data Engineering experience • 4+ years of experience building data pipelines in AWS • Strong background in ETL tools and frameworks (e.g., Ab Initio, Talend, AWS Glue) • Hands-on experience with PySpark • Strong object-oriented programming skills (Python preferred) • Advanced SQL expertise, including: • Complex joins and queries • Data profiling, summarization, and validation • Strong understanding of data relationships, structure, and quality • Proven ability to work independently and solve complex data problems Nice to Have • Experience applying AI concepts or agents within data engineering workflows • Background in large enterprise or financial environments Why Join • Work on high-impact, enterprise-scale data initiatives • Long-term project stability • Opportunity to shape and improve modern cloud data architecture • Collaborative team with autonomy and ownership