Data Engineer

Job Description

Equifax has an exciting career opportunity for a Data Engineer within the Data and Analytics (D&A) organization of its Workforce Solutions business unit focusing on government customers. Equifax Data and Analytics, a high-energy, fast-growing organization, is charged with building and supporting best-in-industry data assets and analytical solutions. We deliver solutions and insights that enable success for our customers, grow our business, and create value for our shareholders. At Workforce Solutions, data-driven decision making is at the heart of remaining nimble and choosing the best path forward.

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, GCP, Python, SAS, SQL, Hadoop, Spark, Kafka) into cohesive solutions is critical for success.

The Analytics Data Engineer role requires a solid educational foundation and the ability to deliver near-term results that are aligned with business strategy while balancing D&A’s transition to the cloud. You 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.

Additional responsibilities of the Principal Data Engineer include:

• Lead the design and implementation of programming and infrastructure for the Government Analytics team.
• Create recommendations for increasing data utilization based on understanding of data delivery environment.
• Support the D&A team’s transition to the Google Cloud Platform (GCP) & ensure continuity for the Government Vertical.
• Participate in the development of strategies, standards, and best practices for the government vertical.
• Collaborate with Technology, Security, Data Governance, and IT Operations to ensure data access and appropriate use of data.
• Stay current with rapidly developing GCP technologies landscape and share knowledge internally and with customers.

Required Skills of the Principal Data Engineer:

• 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 to the following languages: Python, SAS
• Proficiency in SQL and data visualization techniques and tools (Tableau, Spotfire, Excel, etc)

Preferred Skills of the Principal Data Engineer:

• Knowledge of Equifax Workforce Solutions’ differentiated data assets and technology delivery platforms or equivalent industry experience is a plus
• Big Data experience with Hadoop technologies such as Impala, Hive, Spark, and MapReduce is a plus
• Work experience building, loading, transforming, and analyzing data within GCP or other similar cloud environment

Core Competencies of the Principal Data Engineer:

• Excellent communication skills
• Creative and nimble with ability to overcome obstacles to solve the hardest problems
• Ability to collaborate with peers and cross functional teams
• Flexible and responsive with ability to adapt to rapid change in direction or business priority
• Ability to work within the confines of data governance measures
• Limited travel required

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