Lead Data Engineer & ML Analyst (3 Days Left)

Role Overview :

We’re looking for someone with 5+ years of experience in data engineering, analytics, and ML-based solutions.

Job Responsibilities

• Design and manage scalable ETL / ELT pipelines using AWS Glue, Redshift, S3, and Kafka / Kinesis.
• Architect and implement data lake and warehouse solutions following best practices.
• Build and deploy ML models for classification, prediction, and anomaly detection.
• Automate workflows and orchestration with Airflow or Step Functions.
• Enable self-service analytics through tools like ThoughtSpot and QuickSight Q.
• Ensure data integrity, security, governance, and compliance.
• Mentor and support junior engineers to build a high-performing team.

Qualifications

Preferred Skills

Why Join Eltropy?

About Eltropy (www.eltropy.com)

Eltropy is a rocket ship FinTech on a mission to disrupt the way people access financial services. Eltropy enables financial institutions to digitally engage in a secure and compliant way. Using our world-class digital communications platform, community financial institutions can improve operations, engagement and productivity. CFIs (Community Banks and Credit Unions) use Eltropy to communicate with consumers via Text, Video, Secure Chat, co-browsing, screen sharing and chatbot technology — all integrated in a single platform bolstered by AI, skill-based routing and other contact center capabilities.

Eltropy Values

Eltropy is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.