Data Engineer - Intermediate

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

What you’ll do

• With moderate supervision, manage project's progress, metadata collection, development and management.
• Perform investigations on internal / external stakeholder queries with high level direction from the Team Leader
• Analyze problems, identify root cause, formulate findings and observations of results, suggest resolutions and communicate to internal / external stakeholders with moderate guidance from the Team Leader.
• Maintain current knowledge of industry regulatory requirements such as reporting mandates, concepts and procedures, compliance requirements, and regulatory framework and structure. Be able to support internal/external queries on data standards.
• Enter/maintain information in documentation repository.
• Follow established security protocols, identify and report potential vulnerabilities.
• Perform intermediate level data quality checks, following established procedures.
  
  

What Experience You Need

• BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred
• 2+ years of experience as a data engineer or related role
• Cloud certification strongly preferred
• Intermediate skills using programming languages such as Python, SQL or scripting languages
• Basic understanding and experience with Google Cloud Platforms and an overall understanding of cloud computing concepts
• Experience building and maintaining simple data pipelines, following guidelines, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
• Experience supporting the design and implementation of basic data models
• Demonstrates proficient Git usage and contributes to team repositories
  
  

What could set you apart

• Master's Degree
• Experience with GCP (Cloud certification strongly preferred)
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Airflow, GCP dataflow etc.
• Experience with AI or Machine Learning
• Experience with Data Visualisation Tools such as Tableau or Looker
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  
  

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

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.

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.