Data Engineer / Data Scientist in Atlanta

• Analyze large and complex datasets to identify trends, insights, and business opportunities within the payment domain.
• Develop, optimize, and maintain data pipelines to support business intelligence and analytics.
• Work extensively with Aurora DB (MySQL/PostgreSQL) for data modeling, querying, and performance tuning.
• Design and implement scalable data architectures, ensuring data integrity and security.
• Collaborate with data analysts, software engineers, and business teams to define data-driven solutions.
• Implement machine learning models to enhance fraud detection, transaction analytics, and customer behavior analysis.
• Automate data ingestion, transformation, and storage processes using ETL frameworks.
• Utilize cloud platforms (AWS, GCP, or Azure) for data engineering and storage solutions.
• Monitor data quality, identify anomalies, and improve data accuracy.
• Stay updated on industry trends, particularly in payments domains, fintech, and emerging data technologies.

Required Skills:

• 3-6 years of experience as a Data Engineer/Data Scientist, preferably in the payment domain industry.
• Strong expertise in Aurora DB (MySQL/PostgreSQL) schema design, indexing, query optimization, and performance tuning.
• Proficiency in SQL and database management.
• Hands-on experience with Python, R, or Scala for data processing and analysis.
• Experience with ETL frameworks and data pipeline development.
• Familiarity with Big Data technologies (e.g., Spark, Hadoop, Kafka) is a plus.
• Cloud experience in AWS, GCP, or Azure, particularly in data storage and processing.
• Strong analytical and problem-solving skills with experience in predictive modeling and statistical analysis.
• Knowledge of fraud detection, transaction processing, or risk analytics in payments is highly desirable.
• Experience working with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Ability to communicate insights and recommendations to stakeholders effectively.

Preferred:

• Certifications in AWS Data Engineering, Big Data, or Machine Learning are a plus.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. NLB is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR department by sending an e-mail to notifications@nlbservices.com.