NICE - Senior Data Engineer (4-6 yrs)

How will you make an impact :

NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space.

At NICE Actimize, we recognize that every employees contributions are integral to our companys growth and success.

To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities.

Come share, grow and learn with us youll be challenged, youll have fun and youll be part of a fast growing, highly respected organization.

This new SaaS platform will enable our customers (some of the biggest financial institutes around the world) to create solutions on the platform to fight financial crime.

Have you got what it takes ?

- Design, implement, and maintain real-time and batch data pipelines for fraud detection systems.

- Automate data ingestion from transactional systems, third-party fraud intelligence feeds, and behavioral analytics platforms.

- Ensure high data quality, lineage, and traceability to support audit and compliance requirements.

- Collaborate with fraud analysts and data scientists to deploy and monitor machine learning models in production.

- Monitor pipeline performance and implement alerting for anomalies or failures.

- Ensure data security and compliance with financial regulations.

Qualifications :

- Bachelors or masters degree in computer science, Data Engineering, or a related field.

- 4 - 6 years of experience in DataOps role, preferably in fraud or risk domains.

- Strong programming skills in Python and SQL.

- Knowledge of financial fraud patterns, transaction monitoring, and behavioral analytics.

- Familiarity with fraud detection systems, rules engines, or anomaly detection frameworks.

- Experience with AWS cloud platforms.

- Understanding of data governance, encryption, and secure data handling practices.

- Experience with fraud analytics tools or platforms like Actimize.