myGwork - LGBTQ+ Business Community · 2 days ago

Technical Lead - Data & Analytics

New York, United States

Full-time

Hybrid

Senior Level

$170K/yr - $190K/yr

5+ years exp

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Responsibilities

Partner with business stakeholders to identify, innovate, design, and implement capabilities in core platform and data with high automation for greater scalability using message, event, and API driven architectures.

Develop projects since inception and build complex data-pipelines, highly scalable API’s with core data infrastructure.

Design and assemble complex data sets that meet functional /non-functional business requirements.

Develop highly interactive UI/UX systems using latest UI frameworks, persistent and in-memory cache that integrates with our core data infrastructure.

Build highly optimized and high-performance systems since inception.

Build cloud-native containerized infrastructure to scale platform on-demand.

Build systems that deal with high volume and complex financial data.

Build a support structure and respond to and resolve production issues for operational rigor.

Act as a coach /mentor to share knowledge and enable team members to succeed in a rapidly evolving technology and application platform.

Qualification

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ReactPythonSQLJavaC#Restful APIRDBMSNoSQLAWSSystem architectureObject-oriented designFunctional constructsDistributed architecturesSDLC methodologiesAgileIDESource control systemUnit-testing toolDefect management toolAutomated buildCI/CDCommunicationProblem-solvingAnalytical System BuildingMarket Data AnalysisEntity Data Management

Required

A bachelor’s degree and 6 or more years of practical experience as a product and platform developer for large financial services platform

A minimum of 5 to 7 years of experience in software development in JS Frameworks (React a must), Python, SQL, Core Java and/or C#, Restful API’s, RDBMS and/or NoSQL is a must

Required technical skills: Python, SQL (PostgreSQL preferred), NoSQL (Elastic and or any document database preferred), Messaging system (SQS/Kafka), Restful API (Fast API/Flask preferred), Container technology like docker or AWS Elastic container service

Experienced working in Cloud environment (AWS preferred) for development and production

Strong understanding of system architecture, object-oriented design, functional constructs, and distributed architectures

Experience with software development lifecycle (SDLC) methodologies (Agile preferred)

Proficiency in the development environment, including IDE, source control system, unit-testing tool and defect management tool using automated build and deployment (CI/CD)

Excellent communication skills are essential, with strong verbal and writing proficiencies