AWS Data Engineer

Job Title: Data Engineer
Location: Alpharetta GA Raleigh NC
Long Term Contact
Can do Only W2 No C2C

Job Description:

• Experience supporting fraud risk compliance or financial crime analytics
• Familiarity with large-scale data environments and data warehousing concepts
• Exposure to scripting or data-processing languages such as Python (nice to have)
• Experience working in regulated or financial services environments
• Strong critical thinking and investigative mindset
• Ability to prioritize and manage multiple research efforts simultaneously
• Comfortable working with ambiguity and incomplete data
• Collaborative proactive and detail-oriented

Responsibilities:

• Design develop and optimize data pipelines to support fraud research and analytics use cases
• Research and analyze fraud events by querying and correlating structured and unstructured data across multiple platforms
• Write complex high-performance SQL queries to extract transform and analyze large datasets
• Work extensively with Oracle databases to support enterprise-scale fraud analytics
• Utilize MongoDB for handling semi-structured and unstructured fraud-related data
• Investigate data anomalies identify fraud patterns and support root-cause analysis
• Partner with fraud operations compliance and analytics teams to translate business questions into technical data solutions
• Ensure data accuracy consistency and reliability across fraud datasets
• Document data models logic and findings clearly for both technical and non-technical audiences
• Communicate findings effectively through written reports presentations and stakeholder discussions
• Support continuous improvement of fraud detection and monitoring processes through data-driven insights

Qualifications:

• 9 years of experience in data engineering analytics or a related technical role
• Advanced proficiency in SQL including complex joins subqueries performance tuning and data validation
• Strong hands-on experience with Oracle databases
• Working knowledge of MongoDB or similar NoSQL technologies
• Experience researching fraud events financial anomalies risk signals or suspicious activity (preferred)
• Strong analytical and problem-solving skills with attention to detail
• Excellent written and verbal communication skills with the ability to explain technical findings to business partners
• Ability to work independently while collaborating across cross-functional teams

Best Regards:

Bindu M
Phone: 1-307 298-2022
Email: