Senior Data Engineer - AVP
Building 400-Whippany Campus, Jefferson Park, United States
USD 120K-175K Senior-level Full Time
Tasks
- Build scalable data platforms
- Collaborate with stakeholders to translate requirements
- Communicate complex information to stakeholders
- Design and build ETL data pipelines
- Develop data models and performance tune queries
- Enforce technology standards and facilitate peer reviews
- Implement robust testing practices
- Improve engineering processes tools and methodologies
- Influence stakeholders to achieve outcomes
- Lead engineering teams
- Mentor team members and conduct performance reviews
- Oversee delivery timelines and risk management
- Perform complex data analysis and problem solving
Perks/Benefits
Skills/Tech-stack
AML | AWS | AWS CloudFormation | AWS Glue | AWS IAM | AWS Lambda | Amazon EC2 | Amazon EKS | Amazon EMR | Amazon S3 | Container Orchestration | Data Modeling | Data Pipelines | DevOps | Docker | ETL | Entity Resolution | Financial Crime Surveillance | Financial crime | Jira | Jupyter | Kubernetes | Network Analytics | PostgreSQL | Query Optimization | SQL | Scala | Transaction monitoring
Education
N/A
Roles
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