Candidate must be authorized to work without sponsorshipOur Impact:
Our team is driving the modernization of the organizations 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.
Bachelors 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
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Candidate must be authorized to work without sponsorshipOur Impact:Our team is driving the modernization of the organizations 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 techn...
Candidate must be authorized to work without sponsorshipOur Impact:
Our team is driving the modernization of the organizations 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.
Bachelors 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