Company
Verisk logo

Verisk

www.verisk.com
Location

In office: Hyderabad, Telangana

  • 🇮🇳 India
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Software Engineer II (Python Developer)

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

Position Summary: 

If you’re looking for a career that transforms, inspires, challenges, and rewards you, then come join us! Verisk Analytics is a global supplier of risk assessment services and decision analytics for customers in a variety of markets, including insurance, healthcare, financial services, supply chain, and others. We’re a thriving public company with solid revenue growth and earnings and offices worldwide.  And we’re continually looking for ways to augment our existing markets and expand into new markets with excellent growth potential. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate. 

Are you passionate about data manipulations in Cloud technologies in most effective way and does creating innovative data management and reporting solutions excite you? Are you looking for an opportunity where you can both practice your technical trade while adding to your leadership, consulting and delivery experience to turn a career corner? If you've got technical chops, consulting skills and are a passionate data architect, please read on... 

 Responsibilities: 

  • Accountable for delivery of data deliveries for top insurance and financial services clients world-wide 

  • Implement data warehousing solutions in AWS cloud, analytics data stores in advanced analytics platforms 

  • Work closely with BI technology vendors for any need arising due to production support, product upgrades, or development. 

  • Document data sources on client project and perform gap analysis and identify inflow of bad data into Cloud data warehouse and develop recommendations 

  • Development of database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications to internal and external stakeholders 

  • Development AWS Glue jobs and AWS stack for loading structured and unstructured data in Cloud 

  • Development of data strategy, data governance process and maintenance of business definitions, category and glossary for data assets for top insurance and financial services clients world-wide 

  • Work closely with ETL team for implementing data transformation requirements in to the cloud data warehouse 

Qualifications

  • 3+ years of experience in data modeling and data architecture discipline 

  • Hands on experience in AWS cloud technologies and managing data in AWS 

  • 2+ years of AWS data migration project with AWS Glue, CI/CD technologies 

  • Data Mapping expertise, ability to understand business requirements and derive data dictionary and data assets requirement for ETL and DBA groups 

  • Strong SQL is a must and prior experience in any RDMS experience between Snowflake/PostgreSQL is a must 

  • Knowledge and/or experience in the P&C industry is highly desired – along with at least one functional area relevant to these clients – new business, agency, risk management, actuarial, claims and loss 

  • 2+ years of experience in Python programming, specifically in complex data loading using Python 

  • Strong project management skills and attention to detail 

  • Excellent communication skills, both written and verbal 

  • Ability to collaborate with peers and develop good working relationships 

  • Experience with data analysis library such as pandas and NumPy a plus 

  • Working knowledge and experience with git highly desired  

  • Prior experience with ORM library such as SQLAlchemy preferred 

  • Prior experience with psycopg2 module is preferred 

  • Prior experience is working with data frame, multi-dimensional arrays using pandas.array or equivalent is preferable  

Additional Information

In 2022, Verisk received Great Place to Work® Certification for our outstanding workplace culture for the sixth year in a row and second-time certification in the UK, Spain, and India. We’re also one of the 38 companies on the UK’s Best Workplaces™ list and one of 18 companies on Spain’s Best Workplaces™ list.

For over fifty years and through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision to unlock opportunities that deliver significant and demonstrable impact. From our historic roots in risk assessment, we’ve grown to provide analytic insights that help transform industries focused on some of the world’s most critical areas. Today, the insurance industry relies on Verisk to be, and to make the world, more productive, resilient, and sustainable.

Verisk works in collaboration with our customers and at the intersection of people, data, and advanced technologies. Through proprietary platformed analytics, advanced modeling, and interpretation, we deliver immediate and sustained value to our customers and through them, to the individuals and societies they serve, with greater speed, precision, and scale. We’re 9,000 people strong, committed to translating big data into big ideas. We help others see new possibilities and empower certainty into big decisions that impact individuals and societies. And we relentlessly and ethically pursue innovation to help move our customers, and the world, toward better tomorrows.

Everyone at Verisk—from our chief executive officer to our newest employee—is guided by The Verisk Way, to Be Remarkable, Add Value, and Innovate.
• Be Remarkable by doing something better each day in service to our customers and each other
• Add Value by delivering immediate and sustained results that drive positive outcomes
• Innovate by redefining what’s possible, embracing challenges, and pushing boundaries

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property 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 efficient

Extreme 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 governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life 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 stronger

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.