DATA ENGINEER

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 We are looking for a motivated, independent, and well organised individual with experience of ETL processes using AWS services and multiple database technologies.
The role also involves task management, ensuring the sourcing of data, dealing with 3rd parties and follow through the full data life cycle.
he data engineer will be responsible for the ETL processes as well as managing and supporting the full data cycle, from sourcing the data to ensuring its correct processing.
The role will rely on high levels of automation and a strong attention to detail to making sure that our processes flow smoothly and are effective.
The postholder will work with our Analytic team to ensure  the data is processed according to requirements.
Role Responsibilities  Ownership of the full data lifecycle, from sourcing to processing to delivery.
Establish an ETL process for new datasets including full validation and data quality assessment.
Support, and operation of data processes.
Work with the wider development team to improve the processes.
Extraction of data for prospective customers to test models Qualifications Skills & Experience   ESSENTIAL.
3-5 years’ experience in a data management role including experience of developing ETL pipelines ideally in AWS ecosystem Relational Database Management Systems (RDBMS), SQL, NoSQL (DynamoDb, Redshift), Experience in dealing with 3rd party data vendor.
Experience in defining data process improvement, defining requirements.
General, overall knowledge of AWS Cloud services (e.
AWS Batch, Lambda, Step Functions ,S3/Event), AWS certified an advantage.
Data engineering and ETL pipeline building, Python and or.
et programming or similar and interfacing with RDBMS  Experience with visualization tool (PowerBI/Tableau).
Strong understanding of how to use automation to achieve processing scalability and speed.
Experience working with data, including processes for data validation and quality control.
University degree in information technology or similar   #LI-CI #Hybrid 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 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.
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.
Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.
erisk.
om/company/careers/ 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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