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Chase · 2 months ago

Manager of Software Engineering - Data Products

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Senior Level

5+ years exp

Chase is seeking a Manager of Software Engineering within the Consumer and Community Banking division. The role involves leading multiple teams, overseeing implementation activities, and ensuring compliance with business requirements while managing data strategy and governance.

BankingFinancial Services

Responsibilities

Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics

Work with product owners, data owners and customers to evaluate data requirements and identifying right technology solutions and implementation

Design, develop, code, test, debug and deploy applications for scalable and extensible applications

Product high quality code utilizing Test Driven Development techniques

Participate in retrospectives to drive continuous improvement with in the feature team

Participate in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications

Implement automation: Continuous integration and continuous delivery

Manage cloud development and deployment: support development and deployment of applications into AWS Public clouds

Qualification

AbinitioSparkPythonData WarehousingAgile frameworkSQLData EngineeringAWSProcess ImprovementControlsComplianceBig Data TrendsCollaboration

Required

Formal training or certification on software engineering concepts and 5+ years applied experience

advanced knowledge of architecture, design and business processes

Full software development life cycle experience within an Agile framework

Expert level implementation skills with Abinitio, Spark, and Python

Experience with the development and decomposition of complex SQL (RDMS platforms)

Experience with Data Warehousing concepts (including Star Schema)

Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices

Responsible for understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)

Aware of various Data & Analytics tools and techniques(e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.)

Experience with one or more leading cloud providers (AWS/Azure/GCP)