Big Data Engineer (Information Technology)
The ideal candidate is a rare hybrid, a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. He or she will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Qualified candidates will have a strong academic background in mathematics or statistics, passion for data science, data mining, machine learning and experience with big data architecture and methods.
Who is Equifax?
At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life's pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
We offer excellent compensation packages with market competitive pay, comprehensive healthcare packages, 401k matching, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
Grow at your own pace through online courses at Learning @ Equifax.
Big Data Engineer is an integral part of the Privacy Engineering team that works closely in all phases of the prototype development.
Work with key stakeholders and understand their needs to develop new or improve existing global data governance and oversight solutions around data and analytics.
Work in a cross-functional, matrix organization, at times under ambiguous circumstances.
Collaborate with Technology, Security, Data Privacy, Data Governance, and IT Operation teams to support the movement, scanning and analyzing of data assets migrated to GCP
Provide leadership and guidance in the design and development of scalable solutions using large datasets within a cloud platform and cross train new Big Data and/or data analyst on the team
Research innovative data solutions to solve real data privacy and protection problems.
Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the Privacy Engineering organization.
Manage data analysis to develop fact-based recommendations for innovation projects.
Mine Big Data, structured, semi-structured and unstructured data to tap untouched data sources and deliver insight into new and data privacy solutions.
Work with cross-functional teams to develop ideas and execute business plans.
Remain current on new developments in data analytics, Big Data, predictive analytics, and technology.
Understand the various aspects of architecture practices: business, application, data, security, infrastructure and governance
Bachelor's degree in Computer Science, Statistics, or other engineering fields with 3-5 years' experience as a Data Analyst, Data Scientist or Data Wrangler.
Master's degree (preferred) in Computer Science, Data Science, Analytics or Statistics or other engineering fields with a minimum of 3 years of experience.
3+ year's experience in virtualized or public cloud platforms, ideally Google Cloud Platform, Amazon Web Services or Microsoft Azure.
Expertise in relational, NoSQL (or related technologies) and at least one general purpose programming such as Python, Scala, is required.
Experience in performing analysis using Google BigQuery, and other Google Cloud Platform technologies, Hive, R, Impala, Scala+ Spark or PySpark is a big plus.
Agile development including Scrum and other lean techniques is a plus.
Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and pattern recognition methodologies.
Think and act differently
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If this sounds like somewhere you want to work, don't delay, apply today - we're looking for you!
Function:Function - Data and Analytics