#26420
or self-service reports.
The ideal candidate is a self-motivated, adaptable, and composed collaborator that can learn quickly.
IN THIS ROLE, YOU WILL:
Driving larger more complicated projects independently as well as mentoring less experienced engineers.
Collaborate with business partners and cross-functional teams on data/reporting requests.
Be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data pipelines and solutions.
WHAT YOU NEED TO APPLY:
Bachelor's degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
5 plus years professional experience in data engineering, data architecture, or data analytics
Proficiency in the following languages: Python, Java, Scala, and SQL
Holds active Azure DP-203 (Microsoft Certified: Azure Data Engineer Associate) or equivalent. Other Azure DP certifications or equivalents are also applicable
Data Modeling: Creation of conceptual, logical, and physical data models for data objects, object attributes, and their relationships
Analytical Skills: Data Engineers work with large amounts of data that will include facts, figures, and number crunching. You will need to profile the data and analyze it to find conclusions.
Communication Skills: Data engineers are often called to present their findings or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas.
Critical Thinking: Data engineers must look at the numbers, trends, and data and come to new conclusions based on the findings.
Attention to Detail: Data is precise. Data engineers must make sure they are vigilant in their analysis to come to correct conclusions.
Math Skills: Data engineers need advanced math skills to estimate numerical data. Insurance experience required as well as insurance products.
Debugging Skills: Data engineers need the ability to analyze issues with components in our data solutions and come up with remediation plans.
Proven experience in data engineering, implementation of best practices for data storage, access, integration, transformation, etc., within Azure
Proven experience using Databricks and delta live tables in a data engineering context
Experience with event streaming solutions like Apache Kafka and /or near real time messaging solutions leveraging Azure Service Bus
Experience in optimizing data pipelines to account for scale, performance, reliability, and cost efficiency
Demonstrated proficiency in relational, NoSQL, hierarchical, and entity relationship data modeling
Experience in creating easy to consume documentation of data processes and solutions to aid in knowledge transfer and continuity.
Experienced in agile development methodologies, developing high quality code, and DevOps best practices
Coaching and mentoring less senior team member as well as conducting reviews for their work
Must be eligible to work in the United States without requiring sponsorship now or in the future
CAREER DEVELOPMENT:
It's not just a job, it's a career, and we are here to support you every step of the way. We want you to be successful and fulfilled. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you - at every level - to grow and develop.
BENEFITS:
We offer comprehensive benefits to help you be healthy, build financial security, and balance work and home life. At The Hanover, you'll enjoy what you do and have the support you need to succeed.
Benefits include:
EEO statement:
The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law.
Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law."
As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities. Individuals with disabilities who wish to request a reasonable accommodation to participate in the job application or interview process, or to perform essential job functions, should contact us at: [email protected] and include the link of the job posting in which you are interested.
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To view our privacy policy and online privacy statement, click here .
Applicants who are California residents: To see the types of information we may collect from applicants and employees and how we use it, please click here **.
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