Data Engineer
hace 3 semanas
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 seek a driven, autonomous, and organized individual experienced in ETL processes utilizing AWS services and various database technologies.
The role encompasses task management, data sourcing, interaction with third parties, and oversight of the entire data lifecycle.
The data engineer will oversee ETL processes, manage, and support the entire data journey, from acquisition to accurate processing.
The position demands a high degree of automation and meticulous attention to detail to ensure smooth and effective process flow.
The incumbent will collaborate with our Analytics team to guarantee data processing aligns with specifications.
Role Responsibilities: Manage the complete data lifecycle, from acquisition through processing to delivery.
Develop an ETL process for new data sets, including thorough validation and data quality checks.
Maintain and operate data processes.
Collaborate with the broader development team to enhance processes.
Extract data for potential customers to evaluate models.
Qualifications Skills Experience: 3-5 years of experience in a data management role, including developing ETL pipelines, preferably within the AWS ecosystem.
Proficiency in Relational Database Management Systems (RDBMS), SQL, NoSQL (DynamoDb, Redshift) with over 3 years of experience.
Experience with third-party data vendors.
Skilled in defining data process improvements and requirements.
Broad knowledge of AWS Cloud services (e.g., AWS Batch, Lambda, Step Functions, S3/Event); AWS certification is a plus.
Over 2 years of experience in data engineering and building ETL pipelines.
Proficiency in Python and/or .NET programming, or similar, with experience interfacing with RDBMS.
Experience with visualization tools (PowerBI/Tableau).
Strong understanding of automation for processing scalability and speed.
Experience in data handling, including validation and quality control processes.
University degree in Information Technology or a related field.
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.
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.
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.
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