Data Analytics & Wrangling Engineer

Equifax Workforce Solutions (EWS) is a differentiated, high-growth business unit. Through our unique data assets and analytical solutions, we enable our customers to make more informed decisions. EWS Data and Analytics is a high-performance, dynamic organization charged with building and supporting best-in-industry analytical solutions and data products. At Workforce Solutions, data-driven decision making is at the heart of remaining nimble and choosing the best path forward. Equifax has an exciting career opportunity for a Data Analytics & Wrangling Engineer within the Data and Analytics (D&A) organization of its Workforce Solutions business during an impressive cloud transformation. This individual will help drive growth and innovation within our Employer Services portfolio of solutions, while becoming 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, SQL, Hadoop) into cohesive solutions is critical for success. An ideal candidate will 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. 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

• Play the role of data owner; discover, create and maintain data and attributes from Equifax's rich data assets
• Create recommendations for increasing data utilization based on understanding of the data delivery environment and sharing that knowledge through thoughtful metadata and other collaborative means
• Develop sustainable, reusable, and rigorously tested data pipelines wrangled from disparate systems to drive faster, more informed decision making and actionable insights
• Collaborate with Technology, Security, Data Governance, and IT Operations to ensure data access and appropriate use of data
• Participate in identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, conducting data quality check, etc.

• 5+ years of work experience in identifying, gathering, transforming, and analyzing data within and across database platforms (SQL, Python)
• 2+ years of work experience building, loading, transforming, and analyzing data within Google Cloud Platform (BigQuery, Dataflow, Cloud Composer, JupyterLab)
• Strong analytical skills including the ability to rapidly learn new data assets
• Bachelor's degree in Computer Science, Information Systems, Economics, Engineering, or a comparable discipline or experience
• Work experience building, loading, transforming, and analyzing data within Google Cloud Platform or other similar cloud environment is a plus

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