ApplySarthi

Data Engineer II

Verisk

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What data roles keep asking for: Python (38%), SQL (33%), AWS (29%), Machine learning (19%), Spark (15%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.

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Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Verisk.

Questions you are likely to be asked

  1. Why do you want to join Verisk?
  2. What is your experience with Data warehousing? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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The Data/DataOps Engineer II is a junior-to-mid level position that will provide data pipeline, orchestration, and platform operations expertise to guide the development, deployment, and reliable operation of data products and reporting solutions within the Verisk Claims Solutions division. The successful candidate has experience developing data pipelines using cloud services, designing data structures that support data products and reporting systems, and applying DevOps/CI-CD practices to keep those systems secure, observable, and repeatable to operate. In this hands-on role, he/she will be responsible for collaborating with product owners, tackling technical problems, helping define best practices, and contributing in design/code reviews. In addition, the candidate will help create innovative solutions to satisfy the growing needs of internal and external customers. About You and How You Can Excel in This Role • BS or MS degree in Computer Science, Information Technology, or related field. • 2+ years of experience designing and developing cloud data pipelines (ETL/ELT solutions). • 2+ years of Data Warehousing experience. • Proficient in writing SQL for aggregating and transforming data as part of a data pipeline. • Experience using Python for automating processes, working with APIs, and/or transforming data. • Working knowledge of dimensional/data modeling methods used to support business intelligence tools. • Experience building data pipelines using a variety of data sources (RDBMs, NoSQL, REST APIs, message queues, and files). • Experience working with a cloud data warehouse platform (e.g., Snowflake or equivalent). • Experience with cloud serverless/container technologies (e.g., functions-as-a-service, managed batch compute, container orchestration) and workflow orchestration frameworks. • Working knowledge of DevOps fundamentals and CI/CD practices (build/release pipelines, infrastructure-as-code, automated deployments). • Experience with access management, security, and governance/audit operations on a data platform. • A curious, inquisitive mindset with the ability to learn new technologies quickly and troubleshoot through ambiguous issues. • Working knowledge of development standards/best practices with the ability to follow established design patterns. • Proficiency with version control systems (GIT) • Proficiency with database modeling tools (SqlDBM, etc.) • Experience with REST APIs, API gateways, or other web application/integration technologies is a plus. • Experience working with tokenized PII is a plus. • Insurance industry experience is a plus. #LI-LM03 #LI-Hybrid

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Listed on oraclehcm · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Verisk, not by us.