Data Engineer
Escazu, Costa Rica
Verisk
The world's most effective and responsible data analytics company in pursuit of our customers' most strategic opportunities.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
As a Data Engineer at Verisk Marketing Solutions, you will be responsible for collecting, processing and providing in-depth analysis of a wide range of data. You will work on data migrations and transformational projects with colleagues to design large-scale data processing systems, data storage systems, develop data pipelines optimized for scaling, and troubleshoot platform issues.
A Data Engineer works with cross-functional teams to design and develop cost-effective, resilient and scalable data solutions using, but not limited to, AWS Cloud technology, Snowflake Datawarehouse, and legacy Oracle / MSSQL Server databases. Depending on the project, will work on self-organized teams or individually; therefore, you must have the skills to work as a team or by ourselves to achieve goals.
ESSENTIAL FUNCTIONS:
- Design and develop automated data solutions (ingestion, processing, modeling and all the necessary logic to create high quality products).
- In-depth analysis of a wide range of data to provide valuable information for product improvements and decision making.
- Design and develop Test Plan, including:
- Functional Testing (Unit, Integration and Regression tests)
- Non-functional Testing (Performance, Installation and Recovery tests)
- Create necessary documentation for Technical design, Project tracking, Training material, etc.
- Provide support on production issues.
- Constantly research to keep up-to-date on data technologies.
#LI-MC2
Qualifications
- University degree or college diploma in Computer Science, Statistics, Mathematics or related field.
- 2+ years of professional experience, in a technical role, designing and programming database solutions and data pipeline automation.
- Proficiency in SQL and large-data wrangling skills.
- Proven knowledge in Enterprise databases like Oracle, Snowflake, MSSQL.
- Previous programming experience (at least one): Python, JavaScript , Scala, Spark.
- Creativity to design and build solutions/products for analyzing large data sets
- Prior experience working in Agile environments
- Strong verbal and written communication skills (Spanish/English)
- Be self-motivated -Have a desire to always be learning and self-improving.
- Be collaborative -effective communicator, strong team player.
- Have a good level of compromise -support company's decisions.
- Be adaptive and flexible -able to change direction as required.
Nice to Have
- Experience in Agile software development methodology
- Experience using Jenkins.
- Experience or knowledge of Amazon Web Services(AWS) technologies and data marketplace tools such as: S3, EC2, Lambda functions, Matillion ETL , Snowflake DB
Additional Information
Infutor Data Solutions is the expert in Consumer Identity Management and Identity Resolution, offering award-winning solutions to a variety of brands and martech firms. These world-class data solutions enable businesses to most accurately identify key consumer information, powering them to make critical, strategic business decisions. We do this through access to the most comprehensive and accurate data, provided through powerful and flexible technology, giving businesses extensive insight into the core of their business. Infutor's data solutions drive essential business functions in identity verification, fraud and risk, marketing, analytics, multi-media, and compliance applications.
Our company of rapidly-growing data, technology and analytics leaders is looking for a to join our team that has recently been recognized as:
· Crain’s Best Places to Work Company
· Crain’s Best-Paying Company
· BuiltIn Best Places to Work
· Inc. 5000 Fastest Growing Companies in the US
· AdWeek Top 20 Fastest Growing Solution Providers
· Martech Breakthrough Award Winner for Best Contact Database Solution
Verisk (Nasdaq:VRSK) provides predictive analytics and decision-support solutions to customers in the insurance, energy and specialized markets, and financial services industries. More than 70 percent of the FORTUNE 100 relies on the company’s advanced technologies to manage risks, make better decisions and improve operating efficiency. Celebrating its 50th anniversary, the company continues to make the world better, safer and stronger, and fosters an inclusive and diverse culture where all team members feel they belong.
With more than 100 offices in nearly 35 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 fifth 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Computer Science Data pipelines EC2 ETL JavaScript Lambda Machine Learning Mathematics Matillion MS SQL Oracle Pipelines Privacy Python Research Scala Snowflake Spark SQL Statistics Testing
Perks/benefits: Career development Equity Flex hours Insurance
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open LLMs-related jobs
- Open Airflow-related jobs
- Open Data warehouse-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs