At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fourth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

• Responsible for working with our Enterprise customers and migrate data into Cloud.
• Set up ETL process to move data into Cloud and refresh daily.
• Help the team in optimizing queries and evaluating different architectures.
• Working with internal teams and helping them make the most of our data lake.
• Helping with identifying processes and tasks that can be automated with internal tools. Will also be directly responsible for building these tools.
• Participates in the data domain technical and business discussions relative to future architect direction.
• Assists in the analysis, design and development of a roadmap, design pattern, and implementation based upon a current vs. future state in a cohesive architecture viewpoint.
• Gathers and analyzes data and develops architectural requirements at project level.
• Participates in the Data Governance Council.
• Supports the development data and data delivery platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses.
• Researches and evaluates emerging data technology, industry and market trends to assist in project development and/or operational support activities.
• Coaches and mentors team members.
• Long term development and Technical expertise in DW/BI Practice, communicate well with all stakeholders, optimize objectives, leverage state of the art tools and best practices, integrate into corporate systems and deliver on time.
• Deep understanding in Data Warehousing, Enterprise Architectures, Dimensional Modelling, ETL Architect, ETL (Extract/Transform/Load), Data Analysis, Data Conversion/Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support etc.
• Should have independently worked on proposing architecture, design and data ingestion concepts.

• A minimum of 2-3 years of experience in data architecture and Modeling.
• A Minimum of 2-3 years of experience in Data Integration or ingestion.
• Strong Knowledge of ETL, SQL, Python and AWS tools like Redshift, Glue, Data pipeline, Lambda is a must.
• Experience in writing API functions for AWS Lambda to manage other AWS services.
• Strong understanding of core AWS services, uses, and basic AWS architecture best practices.
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS.
• Designing and Developing Cloud Native applications using Microservices, Elastic Beanstalk, ElastiCache, Lambda, S3, SQS and SNS.
• AWS Certified Developer preferred.
• Solid Understanding of Data structures, Algorithm and Analytical problems.

Verisk 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.html

Unsolicited 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. 

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