Big Data Engineer - Entry Level

 Equifax is seeking a Big Data Engineer to become part of the Corporate Services Alliance implementing and supporting edge analytical solutions on a Google Cloud Ecosystem. You will find a great place to work if you are passionate about designing data ingestion jobs, learning new technologies, and proposing and adopting new technologies. 

What you’ll do

• Ability to design requirements on small systems or modules of medium systems (large scale) environment and technical documentation.

• Apply basic principles of software engineering and can follow instructions. Provide meaningful feedback on the release process, code review, and design review.

• Easily absorbs and applies new information. Displays a cooperative attitude and shares knowledge.

• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing corporate product platforms

• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality.

• Participate in a tight-knit engineering team employing agile software development practices. Leverage automation within scope of effort

What experience you need 

• Bachelor's degree in Computer Science, Systems Engineering or equivalent experience

• < 1  Experience/Knowledge in Data Engineering using programming languages such as Python, Java or Scala and SQL (is a must)

• < 1 Experience/Knowledge in Data Pipelines

• < 1 Experience/Knowledge with ETL (Extract, Transform, and Load) procedures

• < 1 Experience/Knowledge in Big Data Technologies such as Hadoop, Spark, Beam, Hive, Airflow or equivalent

• < 1  Experience/Knowledge in Cloud Technologies such as GCP or AWS

What could set you apart

• Data Engineering using GCP Technologies (BigQuery, DataProc, Dataflow, Composer, etc)

• Experience using encryption mechanism for sensitive data in transit and at rest

• Working with multiple data sources and structures such as API, Database, JSON, CSV, XML, Text files, etc

• Relational databases (e.g. Oracle, PostgreSQL, SQL Server, MySQL)

• Source code control management systems (e.g. SVN/Git, Github)

• Agile environments (e.g. Scrum, XP)

• Atlassian tooling (e.g. JIRA, Confluence, and Github)

• Automated Testing: JUnit, Selenium, LoadRunner, SoapUI

• Cloud Certification Strongly Preferred 

#LI-DU1
#LI-Hybrid

Primary Location:

Function:

Schedule: