VP, Big Data Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As part of the Application Engineering team for the Big Data & Data Science Platform Organization, within Marsh Digital, you will drive technical and strategic elements of data derivation for Blue[i] – Marsh’s enhanced analytics and risk insights platform. You will be responsible for designing and developing innovative implementations in support of Digital solutions delivery across a global, client-facing portfolio. You will act as technical lead in defining, executing and enhancing data pipelines creation to enable movement of data from internal and external source systems to Marsh’s Big Data Lake; data transformation and curation; and designing and building logical and physical data models to create consumable data stores.

You will collaborate with a diverse and experienced team of colleagues, clients, and partners to solve complex data problems in a fast-paced entrepreneurial environment. You will partner closely with cross-functional teams across Platform, Ingestion, Derivation, Product, Digital Design, Sales, Partnerships, Marketing, Privacy and other partner teams to craft and deliver best-in-class digital insurance experiences that make our clients and end-users successful while advancing our Digital platforms. If you are an experienced data engineering leader with a passion for and curiosity toward understanding complex data use cases and delivering optimized solutions to make them successful – and if you like to engage in and foster a values-driven culture – this opportunity is for you. We are a passionate and fun team of digital technologists on a mission to transform insurance, come join us!

What is in it for you?

• Opportunity to drive data-driven transformational change in the way business and consumer insurance needs are served today while tapping into the industry expertise, global reach, and fbrand power of one of the largest insurance brokers in the world
• Opportunity to implement best-in-class data delivery solutions in support of digital insurance products for clients across a breadth of industries
• Opportunity to engage with our clients, insurance carriers, and industry-leading 3rd party tech partners to co-innovate and design comprehensive data solutions that will power our rich digital, data, and analytics capabilities
• Competitive pay, continuing education reimbursement, generous benefits, and 401k matching and contribution plan
• Competitive time off along with one volunteer day per year

We will count on you to:

• Implement a comprehensive, thoughtful and best-in-class data derivation solution that will support and enhance our portfolio of Digital products and services across Marsh’s client-facing Digital platforms (Blue[i])
• Partner closely with our business and product teams to understand client needs, build creative data solutions, and partner cross-functionally with Big Data Operations, Platform, Data Derivation teams to engineer end-to-end product delivery
• Actively contribute toward our culture of continuous learning by proactively identifying and evangelizing best practices globally; Play a key role in advancing the culture of the organization
• Manage multiple and concurrent data delivery priorities across Blue[i] product portfolio

What you need to have:

• 5 years of data engineering experience in B2B, finance or technology; Prior insurance or FI industry experience a strong plus
• Experience in designing and developing solutions in Relational databases such as Oracle, Teradata, SQL Server etc. and No-SQL databases (MongoDB, Cassandra etc.)
• Experience with SQL and MongoDb aggregates
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, JavaScript etc.
• Experience with MicroServices architecture
• Experience in Hadoop and Big Data platforms including cloud-based platforms such as AWS, Azure & GCP and services such EMR, Juypter notebooks, SageMaker, HIVE/Presto
• Experience and success in developing ingestion and derivation processes end-to-end
• Experience in developing and driving alignment around driving data-related deliverables to completion with minimal guidance
• Hands-on experience in agile delivery and lean methodologies
• Excellent oral and written communication skills
• Creative problem-solving skills, self-organized, and process-driven with a knack for balancing the big picture with the details that matter
• Bachelor’s degree required in Engineering, Computer Science, Management Information Systems, Technology Management, or similar; Master’s Degree a definite plus

What makes you stand out:

• Prior experience in insurance/financial services or consulting
• Prior MEAN stack experience
• Prior experience working with stream-processing systems
• Being a great team player!