• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 28th Aug 2021

As a Senior Data Engineer, you will empower consumers and create business value. You will integrate data with models and deploy solutions to Financial Institutions, Small and Medium Sized Businesses, Large Enterprises, Consumers and even Government Agencies and related Ecosystems. In this role, you will focus on Payment Intelligence, building the next generation of tools to make financial transactions simpler and safer for Consumers, Banks, and Businesses. You may also contribute to other solutions including lending, decisioning, financial management, and payment services. The underlying services are Settlement Confidence, Verification Services, Entity Resolution, Attribute and Temporal Analysis and more.

Key Qualifications

Ideally, the Senior Data Engineer will have deep technical and domain expertise across multiple domains. Examples of our domains include Positive Attribution for Credit/Risk Scores, Decision Science in Lending, Optimization of Payment Streams, and a suite of services for Financial Institutions that enable consumers to transact in refined and innovative ways.

● Master's Degree or higher in Data Engineering, Computer Science, Information Systems or similar field of study required.

● 5+ years commercial production experience with data science teams. Combinations of Software and traditional database experience may be considered with sufficient ML deployment experience.

● Experience with Kubernetes, Containers, Docker, REST APIs, Flask, GraphQL, Event Streams or other modern delivery mechanisms required.

● A strong understanding of data movement and data structures/schemas/models is required.

● Senior level Python, Go, and/or JavaScript or other Object Oriented Programming experience required.

● Excellent problem solving skills oriented towards product ease of use and simplicity.

● Experience with Web Servers, Load Balancers/Round Robin and web technologies.

● Kafka, Kinesis, Beam, NiFi, Data Flow, KubeFlow, RabbitMQ, MQTT, AMQP and other message streaming technologies and protocols.

● Understanding of data logistics from querying, movement, and storage in a secure manner.

● Excellent written and oral communication skills on technical & non-technical topics.

Preferred qualifications include:

● Experience with creating hosted, API, or event stream Data Science algo/model production with applicability to finance, FinTech and scoring.

● Senior Level Software Development, Data Engineering or Data Science Programming is highly desired.

● Advanced Data Ingress and Egress techniques (ETL/ELT).

● Advanced Data Modeling, Querying, Structuring, Architecture and Design skills.

● Real-Time or Near Real-Time Architecture and Development Experience preferred.

● Exposure to risk evaluation, credit risk modeling.

● Additional Finance and FinTech Experience