Data Solution Engineer

JOB DESCRIPTION

A data solution engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms.

He or she should be able to decide on the needed hardware and software design needs and act according to the decisions.

The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.

Ideal candidate for this role is someone with a strong background in computer programming, statistics, and data science who is eager to tackle problems with large, complex datasets using the latest python, R, and/or Spark.

You are a self-starter who will take ownership of your projects and deliver high-quality data-driven analytics solutions.

You are adept at solving diverse business problems by utilizing a variety of different tools, strategies, algorithms, and programming languages.

Specific responsibilities are as follows:


* Strong analytical & logical skills


* Utilize the data engineering skills within and outside of the developing Chubb information ecosystem for discovery, analytics and data management


* Work with data scientists, architects, business partners and business analysts to understand requirements, design and build effective solutions


* Understanding of P&C insurance processes, risk data attributes and concepts such as Limits, Exposure bases, Coverages, Packaged, Rating Factors, etc.

Experienced in identifying, capturing, profiling & analyzing data from multiple sources (internal and external).


* Skilled in identifying remediation solutions for addressing data issues.

Experience in documenting data capture requirements, source to target mappings, data flow diagrams, entity relationships and complex data models.

Experienced in translating business needs into systems requirements including rating systems, reports, dashboards and scorecards with minimal or no supervision


* Work with various relational and non-relational data sources with the target being Azure based SQL Data Warehouse & Cosmos DB repositories


* Work closely with the Data Science team to perform complex analytics and data preparation tasks


* Sourcing data from multiple applications, profiling, cleansing and conforming to create master data sets for analytics use


* Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus


* Design solutions for managing highly complex business rules within the Azure ecosystem

QUALIFICATIONS



* Knowledge

ABOUT US

Chubb is a world leader in insurance.

With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients.

The company is distinguished by its extensive product and ser...