Company Description
We 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 Description
Verisk Marketing Solutions helps marketers create exceptional experiences for their customers and prospects by targeting the right person, with the right message, at the right time. We do this with the highest standards for data security and respect for the consumer’s privacy, preference, and permission. Our consumer insights and data solutions are designed to help marketers continuously maintain a real time view of customers and prospects as those consumer’s profiles and behaviors are changing over
time. Whether our customers are seeing a consumer for the first time or have a long standing relationship with her, we help them improve the reach, timing, relevance, and compliance of every engagement. We take pride in helping our customers understand and apply our solutions and data to improve their digital marketing strategies in new and creative ways. When our customers win, we win.

POSITION OVERVIEW:

We are looking for experienced software engineers to join our high performing development
organization. As part of our sustaining engineering team, you will play a key role in helping us maintain and enhance the products that drive the core of our business. In addition to working with high availability low latency real time distributed systems, you will also have the opportunity to work with a diverse set of languages, frameworks, and AWS services to deliver Machine Learning powered big data solutions. To be successful at VMS, you will need to have a passion for continuous improvements and all aspects of development from build tooling to testing to delivery.

QUALIFICATIONS

• 3-5 years of experience developing APIs (REST) with Python 3
• 3-5 years of experience with web technologies including HTML, CSS, and JavaScript
• 3-5 years of experience with SQL and NoSQL databases
• Experience with unit testing and mocking
• Experience with CI/CD
• Experience with version control systems like GitHub or Gitlab
• Experience utilizing Agile (Scrum/Kanban) practices
• Experience developing applications using AWS services such as Lambda, EC2, S3, RDS &
• DynamoDB

NICE TO HAVE:

• Experience with web frameworks such as Elm, React, Angular
• Experience with ETL pipelines and big data applications
• Experience with AWS big data services such as EMR, Athena & Redshift
• Experience developing APIs with PHP
• Experience with testing and mocking libraries like PHPUnit and Mockery
• Experience developing AdTech or MarTech applications and solutions
  

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Additional Information
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.

• Collaborate with product, data science and other functional areas to ensure technical efforts are aligned with business goals
• Improve and maintain real time APIs
• Improve and maintain web interfaces
• Perform peer code review
• Maintain various big data data structures, pipelines, and transformations
• Optimize data operations to minimize processing time on large data sets.
• Critically analyze and evaluate challenges with data and propose solutions.