*DUE TO THE NATURE OF THIS ROLE - ONLY GC HOLDERS AND US CITIZENS WILL BE CONSIDERED*

This is an exciting opportunity for an experienced Lead Data Engineer for one of the leading FinTech company in the US - #1 in Debit cards in retail (US). Our mission is to deliver trusted, best-in-class money management & payment solutions to our customers & partners, seamlessly connecting people to their money. You will be part of an enterprise data platform engineering team delivering a transformative data platform that enables faster, secure & efficient data solutions.

The ideal candidate will have a proven track record of implementing OTLP database solutions for Azure cloud based scalable applications, using Cosmos DB, Azure SQL, Blob Storage and Redis, and related data processing technologies like Azure Data Factory(ADF) and Databricks(Spark). We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation. The successful candidate will have hands-on experience in a multitude of data domains, including data modeling, security, database development, database tuning, data migration/integration, service delivery, production support, incident tracking, and change management.

Responsibilities

1. mssql / Azure with query optimization
2. Executes design sessions to gather requirements, review, approve, and communicate design artifacts with stakeholders
3. Designing and managing various data models associated with NoSQL DBs (Azure Cosmos, Redis etc.) and Relational DBs (Azure SQL, PostgreSQL etc.)
4. Implement data processing solutions for data migration and day-to-day application data management needs using Azure Data Factory and Azure Databricks
5. Leverage AI tools to automate SDLC activities and help improve efficiency of individuals and teams.
6. Ensures database features and capabilities are incorporated into data model designs to optimize performance, security, resiliency and scalability
7. Perform problem-solving application issues and production errors, including high level critical production issues that require immediate attention. Participate in an on-call support rotation
8. Monitor and perform performance tuning on application DB usage and ETL/Data processing jobs
9. Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders
10. Working with other members of the project team to support delivery of additional project components associated with cloud data platform
11. Perform other DBE duties as assigned

Qualifications

1. Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related field preferred
2. 8+ years of overall software development experience required
3. 4+ years of overall hands-on experience working with Azure data technologies like Cosmos DB, Azure SQL, Redis, Azure Data factory and Azure Databricks
4. Strong knowledge and experience in data modeling and relational/NoSQL database design
5. Demonstrated expertise in database performance tuning
6. Hands-on development experience with NoSQL DBs (Azure Cosmos DB or similar) and/or event-based streaming (Azure EventHub, etc.) technologies highly desired
7. Experience building and scaling distributed, microservices based, highly available systems in cloud env (Azure / AWS)
8. Expertise in understanding complex business needs, analyzing, designing, and developing solutions
9. Communication and professional skills and the ability to establish relationships across business units
10. Experience working in a DevSecOps environment with tools such as Github, Azure Devops, Teamcity, ArgoCD, Azure Data Studio, Datadog, Azure Portal

Pluses:

1. Financial technology domain knowledge
2. Experience with .NET, MVC, C#, Python
3. Microsoft Certified: Azure Cosmos DB Developer Specialty or other cloud certifications

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