Tech Lead (Data Modernization & AI Engineering)

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
• Strong leadership skills

Job Responsibilities

• 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