Descrição da Vaga
Key Responsibilities
* As a data engineer, you will develop solutions to complex business problems
which combine industry standard practices with innovation. This position
offers exposure to a wide variety of analytic tools and technologies. Be
ready to meet data challenges head-on as you develop and refine data
processes to marry data from multiple structured and unstructured data
sources which ultimately feed into the creation, evaluation, implementation,
and maintenance.
* Partner with Stakeholders: Work closely with business partners and peers to
understand business challenges, gather requirements, and facilitate seamless
data integration.
* Build Data Solutions: Design, develop, and maintain robust data pipelines and
modeling solutions that support business objectives and drive performance
improvements.
* Analytics Execution: Lead all phases of analytics initiatives, including
exploratory data analysis, preprocessing, model development, and deployment.
* Data Synthesis & Insights: Analyze and synthesize data from multiple
structured and unstructured sources to uncover trends, assess business
impact, and recommend actionable improvements.
* Relationship Management: Foster strong working relationships across Chubb’s
business, IT, and analytics teams to ensure alignment and effective
collaboration.
* Communication: Present findings and recommendations to stakeholders in clear,
concise written, oral, and presentation formats.
Requirements
* Intellectually curious out-of-the-box thinker who is passionate about
brainstorming innovative ways to use data to solve business problems
* SQL & Database Expertise: Advanced SQL skills and strong understanding of
database architectures and data extraction techniques.
* Data Modeling & Governance: Proven experience in data modeling and data
governance, ensuring data quality and compliance.
* Data Operations: Experience in setting up and maintaining data extraction,
collection, cleansing, and organization processes.
* Emerging Technologies: Hands-on experience with modern data platforms such as
Azure Synapse, Databricks, and Snowflake.
* Adaptability & Problem Solving: Ability to multi-task, learn quickly, solve
complex problems, and stay current with industry trends
* Proficient in both written and spoken English and Spanish at an advanced
level.
Experience
* 4+ years of progressive experience in data engineering, product development,
and/or data governance.
* Bachelor's Degree in Computer Science, Computer Engineering, Electrical
Engineering, Mathematics, or equivalent field. Bachelor’s degree in an
analytical field such as statistics, operations research, economics, computer
science preferred (graduate degree is a plus).
* Strong interpersonal, negotiation and communication skills; ability to
communicate effectively across the full spectrum of internal stakeholders and
customers.
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