Tech Lead (Data Modernization & AI Engineering)
Anveta
Tech Lead (Data Modernization & AI Engineering)
100% Remote
Strong preference local to McLean, VA either from Dallas, TX
Interview process: Ropes and sent to freddie mac
Our Impact:
Our team is driving the modernization of the organization’s trade data capture process by transitioning from traditional batch file transfers to contemporary, real-time data transfer methods into a bi-temporal OLTP data store. AI technologies will be leveraged as key tools to optimize and automate this modernization effort, enhancing data availability, enabling faster decision-making, and strengthening the overall data infrastructure.
Your Impact:
- Design and implement contemporary data transfer methodologies that seamlessly loads data into a modern OLTP
- Leverage AI for faster migration, efficient data reconciliation, and smooth user transition
- Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams
Qualifications:
- 8-10 years of hands-on experience in application development.
- 8 + years of hand-on experience in languages and frameworks including Java or Python.
- 3+ years of backend service development, including RESTful API design and implementation.
- Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation.
- Proven hands-on experience with Apache Kafka (installation, configuration, development).
- Familiarity with cloud platforms (AWS mainly) and containerization (Docker, Kubernetes) is a plus.
- Background in real-time analytics and event-driven architecture is preferred.
- Experience with CI/CD platforms and related technologies.
- Strong knowledge of data streaming concepts and distributed systems.
- Hands-on experience with multiple technologies like APIs, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, DevOps, etc.
- Bachelor’s degree in computer science or equivalent experience required; advanced studies/degree preferred.
Keys to Success in this Role:
- Highly motivated and self-driven professional
- Strong hands-on technical skills with modern technologies
- Strong verbal and written communication skills
- Strong partnership and collaboration skills
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