Job Url: https://fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/2327

Job Description: Purpose of the team
 

The Analytical Data Operations (ADO) division of Verisk’s ISO business is the information refinery for our insurance-industry-experience data stores, ensuring that the country’s largest database of P&C policy and claims information can effectively support the analytical engines underlying the pricing of the US P&C insurance market. 

 

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion, data integration, data transformation, data analysis, and BI development. 

 

We are committed to improving the data & analytics platform that supports a host of products the US P&C industry relies on.   

 

 

About the Role
 

We are seeking a skilled and proactive Data Engineer to join our growing team in Krakow. In this role, you will be instrumental in designing, building, and maintaining the data infrastructure that powers our business intelligence and analytics. You will work within a fast-paced, Agile environment, transforming raw data into a reliable and accessible format, and ensuring our data architecture is robust, scalable, and cost-efficient.

RESPONSIBILITIES
Design, develop, and implement scalable data pipelines using Python and SQL to ingest, transform, and load data from various sources
 
Create and maintain relational data models and data warehouse schemas
 
Optimize complex SQL queries and data structures to ensure high performance and efficiency
 
Work with cloud data platforms, specifically Snowflake, to develop stored procedures, tasks, and dynamic tables
 
Apply the principles of Medallion Architecture (Bronze, Silver, Gold) to build a structured and reliable data ecosystem
 
Proactively identify and resolve data quality issues, including creating test cases, defining DQ checks, and generating reports on outliers, nulls, duplicates, and schema drift
 
Adhere to and enforce data governance best practices, including naming conventions and join principles
 
Collaborate with cross-functional teams in an Agile environment to deliver data solutions that meet business needs.
QUALIFICATIONS
3-5+ years of experience as a Data Engineer (with at least 1 year of experience in Snowflake)
 
Familiarity with data warehousing concepts, dimensional modeling, and best practices
 
Demonstrated proficiency in Python, including experience writing and manipulating data frames
 
Strong expertise in SQL and an ability to solve technical problems quickly
 
Solid understanding of cloud data architecture and best practices for cloud databases
 
Experience writing stored procedures, tasks, and dynamic tables
 
Experience with advanced SQL such as CTEs, cursors and Window Functions|
 
Familiarity with query cost management and optimization within the Snowflake ecosystem
 
Strong analytical, problem solving, and decision-making skills
 
A strong team-oriented mindset with experience working collaboratively
 
Good English communication skills (written and verbal)
 

Nice-to-Have:

 

Background in the insurance industry (a strong asset)
 
Current SnowPro Core Certification
 
Experience with data transformation tools such as dbt (dbt Core or dbt Cloud)
 
Experience using Jupyter Notebooks for data analysis and prototyping
 

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ABOUT US
For 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.