NICE Sr Data Engineer 

United States, Georgia, Atlanta 

122221744

The ideal candidate may have a previous background as a DBA, a developer, or a data scientist. Very good communication skills are essential, as is experience working with complex datasets. You will be someone who's happy to get into the detail of the problem rather than just “manage”, and be prepared to acquire a deep understanding of our data, how it is structured, where the value is, and the operational demands upon it. As an engineer, you need to know what good looks like and be able to measure our progress towards technical excellence, and to do that they must live, eat and breathe NiCE data.

How will you make an impact?

• Contribute significantly to our strategy and architecture with databases and reporting data, shaping the future of our data landscape.
• Help evolve our standards and best practices with data across the business, incorporating modern AI-driven approaches to data governance and security.
• Analyze our data and advise where we can realize maximum value from it, using advanced analytical and AI tools to uncover critical insights and drive business decisions.
• Monitor our database performance and implement AI-powered solutions for proactive anomaly detection and optimization, ensuring robust and efficient data operations.
• Propose, plan, and execute innovative strategies to allow us to scale the way we process and store our data, with a focus on building resilient, high-performance architectures that push technological boundaries.
• Work closely with various multidisciplinary teams with touchpoints in this field, fostering collaborative thinking and knowledge sharing across the organization.
• Continue to develop and apply hands-on skills related to management of our data, and related topics, including the adoption of new AI/ML technologies for data management and continuous personal and professional growth.

Required:

• Experience working with relational and non-relational databases, key-value and document stores at scale (e.g., MySQL, PostgreSQL, ).
• Experience working with data warehouse, data lakes, and the associated ETL and reporting tools (e.g., AWS Redshift, Matillion, , Tableau, Looker).
• Expertise and understanding of architectures needed to build business-centric reports from complex data.
• Demonstrable data and reporting problem-solving, and data modeling ability.
• Good knowledge around GDPR compliance, international data governance and security, including how AI tools can assist in these areas.
• 2+ years of relevant industry experience.
• Ability to develop and maintain good working relationships with cross-functional teams.
• Ability to clearly communicate and present to internal and external stakeholders.

NiCE to have, but not essential:

• Experience architecting database solutions in AWS with AWS Step Functions.
• Database and ETL automation experience.
• Experience with column-based and graph-based databases like Cassandra and Neo4J.
• Performance, optimization, troubleshooting and tuning skills with relational and non-relational databases.
• Agile framework experience.
• Awareness of basic data science and generative AI methods.
• Exposure to generative AI application frameworks for data insights.
• Basic AWS resource management, including microservice deployment.
• Containerization and orchestration with Docker, Helm and Kubernetes.
• Infrastructure as Code with Terraform.
• FedRAMP compliance experience.