Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Senior Data Engineer is responsible for ingesting and transforming replicated source data into data products easily consumed by the Reporting team and other downstream users. This role requires expertise in Data Modeling and Data Pipeline development within an Analytical, column-oriented data warehouse. The role reports to the VP, Data Engineering & ETL Lead.

Responsibilities

• Translate requirements and data mapping documents into a technical design.
• SQL development using dbt.
• Pipeline development using dagster.
• Identify specific records produced from SQL bugs.
• Debug and troubleshoot issues found during testing or production.
• Communicate project status, issues, and blockers with the team.
• Contribute to continuous improvement by identifying and addressing opportunities.

Requirements

• Bachelor’s degree in Computer Science or equivalent professional experience required.
• Minimum of 5 years of experience in ELT development within a Data Warehouse.
• Minimum of 5 years working with Dimensional Data Modeling, such as Kimball, Data Vault, or Medallion Architecture.
• Strong familiarity with dbt and dagster/airflow.
• Good working knowledge of distributed data and Kubernetes.
• Expertise in data modeling using append-only replication methods to produce point-in-time data marts.
• Strong understanding of test-driven development applied to Enterprise Data.
• Strong familiarity with git and CI best practices.
• Expertise in Python and SQL.
• Expertise in column-oriented SQL modeling.
• Experience in P&C Insurance or Financial Services Industry is a plus.
• Ability to process and adapt to change in a rapid growth company environment.
• Associates are expected to be curious, thrifty, and resourceful to manage through the unknowns of growing a specialty (re)insurance business from the ground up.

Skills

• dbt
• dagster/airflow
• Kubernetes
• git
• CI best practices
• Python
• SQL
• Data Modeling
• Data Pipeline development
• Dimensional Data Modeling
• column-oriented SQL modeling
• ELT development

Location

• New York
• Chicago

Work Type

• Hybrid
• Remote
• Work flexibility

Experience Level

• Senior
• Minimum of 5 years of experience in ELT development within a Data Warehouse
• Minimum of 5 years working with Dimensional Data Modeling

Education Level

• Bachelor’s degree in Computer Science or equivalent professional experience

Salary/Compensations

• $120,000 - $160,000

Benefits

• Performance-based bonus potential
• Strong health & welfare benefits
• Retirement plans with company match
• Competitive time off plans
• Highly flexible work environment

About the Company

• Vantage Group Holdings Ltd. (Vantage) was established in late 2020 as a re/insurance partner designed for the future.
• Driven by relentless curiosity, our team of trusted experts provides a fresh perspective on our clients’ risks.
• We add creativity to tech-enabled efficiency and robust analytics to address risks others avoid.
• Vantage provides specialty re/insurance through its operating subsidiaries in Bermuda and the U.S.
• Vantage has approximately 365 colleagues in both the United States and Bermuda.
• We have offices in Chicago, IL, Norwalk, CT, West Hartford, CT, Washington, DC, Boston, MA, New York, NY, Atlanta, GA and Hamilton, Bermuda.
• Additionally, we are a highly geographically diverse workforce with colleagues based in 35 states and counting.
• We fully support work flexibility including remote and hybrid work arrangements.
• Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities.
• Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined.
• We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally.
• Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself.
• Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.