Data Engineer

Data and Analytics is a high-energy, fast-growing organization within Equifax charged with building and supporting best-in-industry data assets and analytical solutions. We deliver solutions and insights to enable success for our customers, drive growth for our business, and create value for our shareholders. At Workforce Solutions, divisional and enterprise data assets are combined, transformed, and delivered to our customers through many delivery channels. As a Data Engineer, you will be instrumental in designing and developing frameworks for supporting data solutions at scale with minimal friction moving from prototype to production.You will be a part of a Data Engineering team that is at the center of driving enterprise level best practices on big data solutions. Through interactions with Data Stewards, Data Scientists, IT, and Analysts, the Data Engineer facilitates D&A's cloud transformation utilizing Google Cloud Platform tools and data storage, and ultimately helps D&A's transition from on-site analytics to the Google Cloud Platform. You will become an expert in our technical environment as it relates to data delivery, design data structures and processes balancing immediate deliverables with future reusability, and evangelize best practices for data solution architecture. Being able to blend disparate technologies/platforms (BigQuery, DataFlow, Google Cloud Platform, Python, SAS, SQL, Hadoop, Spark, Kafka) into cohesive solutions is critical for success. The Data Engineer must be organized, detail-oriented, and a fast learner in order to work with all Equifax's major data assets and a rapidly changing technology environment. The ability to work in a matrix environment to deliver complete solutions is required. Who is Equifax? Equifax is a global data, analytics, and technology company. We believe knowledge drives progress. We blend unique data, analytics and technology with a passion for serving customers globally, to create insights to power the decisions that move people forward. We serve as a consumer advocate, steward of financial literacy, and champion of economic advancement. As an innovative global company that enables access to credit, we're part of breakthrough collaborations and innovations that address complex social challenges such as social welfare, community relations and financial education for underprivileged youth. We establish relationships that create economically healthy communities. We help individuals gain financial independence by increasing access to capital for small businesses. And we provide young adults entering college or university with financial education tools. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are Powering the World with Knowledge and looking for talented team players to join us as we help people live their financial best. The Perks of being an Equifax Employee?

• We offer excellent compensation packages with high-reaching market salaries, 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, collaborative work spaces, work from home opportunities, paid time off, and organizational growth potential
• Grow at your own pace through online courses at Learning @ Equifax

• Develop strategies, standards and best practices in the areas of data wrangling, data visualization and data integration and lead adoption throughout analytical platforms
• Lead analysis of internal and external data assets in consultation with internal stakeholders
• Develop new processes to create metrics to track the ongoing quality across Equifax data assets
• Design new methodologies and execute investigative data analyses of moderate complexity in response to business request for internal and external customers
• Develop and Collaborate extensively with Data, Analytics, and Technology leads to ensure the seamless consumption of insights generated from Equifax's new big data analytical platform.
• Stay current with rapidly developing Big Data technologies landscape and share knowledge internally and with customers. Prototype and integrate tools into Cambrian environment and lead adoption of tools through Data and Analytics.

• 5+ years of work experience in building, loading, transforming and analyzing data within and across database platforms and other data stores is required.
• 5+ years of scripting/coding experience required. Proficiency in one or more of the following languages: Python, R, SQL, SAS
• Proficiency in SQL and data visualization techniques and tools (Tableau, Spotfire, Excel, etc)
• Bachelor's degree in Computer Science, Statistics, Economics, or equivalent quantitative field with heavy emphasis on programming required

• Accountability
• Bravery
• Curiosity
• Collaboration
• Think and act differently
• Trust
• Ownership
• Decide-Execute-Ship