About this opportunity
Liberty Mutual lists this Principal Data Engineer - Global Cybersecurity Data & Analytics opportunity in plano, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Liberty Mutual is hiring a Principal Data Engineer for its Global Cybersecurity Data and Analytics team in Plano, TX (onsite).
Responsibilities
Consult on the design and development of complex programs and tools for ingestion, curation, and provisioning of enterprise data for analytics, reporting, and data science
Build and design data architecture that improves accessibility , efficiency , governance , and data quality
Collect, clean, and transform traditional and big data to maintain accuracy and accessibility
Recommend improvements to data processes and drive those recommendations to completion
Develop deep expertise in technology enablers supporting cybersecurity insights and analytics
Document processes, organizational structures, architectures, and external systems
Contribute to development and enhancement of solutions tied to key business outcomes
Create interactive, visually appealing data visualizations that help uncover patterns, trends, and correlations across large datasets
Provide guidance on capabilities and functionality of Power BI visualization tools
Present to and educate diverse audiences on using visualizations and analytics outputs
Actively use AI tools to improve speed, quality, and scale of work; demonstrate concrete workflows where AI adds value; critically evaluate and validate AI-generated output; and apply AI responsibly to protect confidential and customer data
Requirements
Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience (technical degree preferred)
8+ years of professional experience
In-depth knowledge of IT concepts, strategies, and methodologies
In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
Knowledgeable in data engineering languages and tools, with proficiency in new and emerging technologies
In-depth understanding of layered solutions and shared data engineering concepts, including security-minded design and product features
In-depth understanding of business operations, objectives, and strategies, including global business and technology trends in the financial services industry
Strong negotiation, consensus building and influencing skills, plus facilitation and adaptability to respond to change quickly
Highly developed oral and written communication skills, including strong presentation ability
Ability to collaborate effectively across all levels of the organization
Solid Python (Pandas) and SQL skills, with analytical and critical thinking, and an understanding of big data technology
Understanding of machine learning principles, statistics, and algorithms
Understanding of data warehouse solutions, modeling, and governance
Working knowledge of AWS , Azure , and GCP cloud environments
Power BI development using DAX and M query , plus Power BI gateway
Snowflake administration experience
AWS Airflow
History of working with ETL (extract, transfer, and load) and data pipeline technology
Proven experience in data modeling, governance, and analytics
Ability to leverage and build APIs
Python programming knowledge
SQL query and data management experience
Tools & Technologies
Python, Pandas, SQL
Power BI, DAX, M query, Power BI gateway
Snowflake
AWS, Azure, GCP
AWS Airflow, ETL, data pipeline technology
APIs
Machine learning
Location: Plano, TX (onsite)
Salary: USD 120,000 - 225,000 per year
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Worksite address
plano, TX, 75086, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.