Data Engineer I

Job Description

Company DescriptionWe help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.
 Job DescriptionAbout the RoleThe Data Engineer will provide data pipeline expertise to guide the development and implementation of data products and reporting solutions within the Verisk Claims Solutions division. The successful candidate has experience developing data pipelines using cloud services and designing data structures that support data products and reporting systems. In this hands-on role, he/she will be responsible for transitioning a large SQL Server data warehouse implementation to Snowflake and collaborating with other technical leads to tackle technical problems and expand the Data Engineering footprint and expertise in our offshore location. In addition, the candidate will develop new dimensional models and help create innovative solutions to satisfy the growing needs of internal and external customers.

About the Day-to-Day Responsibilities of the RolePipeline Development – Design and develop data pipelines using AWS services like Glue, Step Functions, Lambda, SNS, SQS and S3 in conjunction with computing platforms like Snowflake and Databricks.Data Table Design – Design, review, and build Kimball style data models for data products and business intelligence reporting systems like Power BI and ThoughtSpot.Collaboration – Work closely with product owners and other technical leads to understand and refine new feature requests. Work closely with data engineering team to design, review, and develop new data pipelines.Communication – Ability to communicate technical ideas in terms product owners and non-technical users can understand.Best Practice – Ensure standard practices are followed for logging, monitoring, alerting and data security.Data Security – Understand Verisk data security policies and controls and design and implement ways to comply with the policies. QualificationsBS or MS degree in Computer Science or Engineering OR equivalent years of work experience.3+ years of experience in engineeringProven coding and debugging skills in TypeScript is mandatoryExperience working with AWS Services(S3, DMS, CFT)Proficiency with version control systems (GIT), Azure DevOpsProficient in writing SQL for aggregating and transforming data as part of a data pipeline2+ years of Data Warehousing experience to build Kimball style data models for data productsExperience working with Snowflake (or equivalent)Ability to work and communicate effectively across disciplines and teamsExperience building/working with CI/CD pipelines is a plus.Additional InformationFor over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.At Verisk, you’ll have the chance to use your voice and build a rewarding career that’s as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.Verisk BusinessesUnderwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precisionClaims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiencesProperty Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficientExtreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governanceMarketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagementLife Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become strongerVerisk Analytics is an equal opportunity employer.All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran’s status, age or disability.http://www.verisk.com/careers.htmlUnsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.