Senior Data Engineer (REMOTE)
Hanover Insurance Group
- Worcester, MA
- Permanent
- Full-time
- 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.
- Coach and mentor less senior team members as well as conducting reviews for their work
- 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: SQL. Python, Java, Scala nice to have.
- 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 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
- Must be eligible to work in the United States without requiring sponsorship now or in the future
- Medical, dental, vision, life, and disability insurance
- 401K with a company match
- Tuition reimbursement
- PTO
- Company paid holidays
- Flexible work arrangements
- Cultural Awareness Day in support of IDE
- On-site medical/wellness center (Worcester only)
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