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Job Title: Data Engineer
Location: Alpharetta, GA, Raleigh, NC
Long Term Contact
Can do Only W2, No C2C
Job Description:
Bindu M
Phone:
Email:
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
- 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
- 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
Bindu M
Phone:
Email: