Job Details:

Data Engineer - Senior Manager for Equifax Inc. in St. Louis, MO, to manage a team of Data Engineers and manage a cross-functional Data Engineering Guild function. Identify optimal path for new analytical product deployment and work with the Technology, Sales, and Marketing organizations on go-to-market execution. Oversee Data and Analytics system architecture, scalability, reliability, and performance. Manage large scale data engineering and analytics projects ensuring milestones are met, risk is mitigated, and delivery occurs within the agreed upon time frames. Oversee the design and implementation of secure data integration processes for both upstream and downstream data pipelines. Build and deploy streaming and batch data pipelines across a hybrid multi-cloud architecture. Build capabilities to run analytics, data visualization, and machine learning algorithms at scale. Build and maintain dimensional databases, data marts, operational data stores, semantic models and ontologies in support of business intelligence and advanced analytics tools in a hybrid multi-cloud architecture. Assist with graph-based metadata and master data management repositories. Oversee the design and execution of keying, linking, and entity resolution activities. Promote a culture of creativity, problem-solving, experimentation, innovation, and execution.

Requires: 

Master's degree in Computer Science, Information Systems, Operations Management or related field (willing to accept foreign education equivalent) plus four (4) years of experience as a Data Engineer, Data Analyst, or related occupation with experience working with analytics and data-based product development or, alternatively, a Bachelor's degree in Computer Science, Information Systems, Operations Management or related field (willing to accept foreign education equivalent) and six (6) years of experience as a Data Engineer, Data Analyst, or related occupation with experience working with analytics and data-based product development. Specific skills/other requirements - Must also possess the following (quantitative experience requirements not applicable to this section): Google Cloud Platform (GCP) for building scalable and cost-effective data solutions; architecting scalable and high-performance data warehouses, and building robust data pipelines using Apache Airflow and Cloud Composer; utilizing BigQuery and traditional relational databases (Oracle and SQL Server) for comprehensive data analysis; data governance frameworks, security protocols, and compliance requirements to ensure data integrity, confidentiality, and availability; and leading and managing a high-performing data engineering team.

How to Apply:

Email resume to jobs.opportunities@equifax.com. Reference Position Number: 00443