Data Specialist

  • Full-time
  • Employee Status: Regular
  • Role Type: Hybrid
  • Department: Data Management
  • Schedule: Full Time

Company Description

Experian plc is an Anglo-Irish multinational consumer credit reporting company.  

Experian collects and aggregates information on over 1 billion people and businesses, including 235 million individual US consumers and more than 25 million US businesses.  

We operate in 37 countries with offices in the United Kingdom, the United States and Brazil.  

We employ approximately 17,000 colleagues, and last fiscal year, our year-end revenue was US$5.18 billion. 

Our product proposition covers credit services, Decision Analytics and marketing assistance to businesses, including individual fingerprinting and targeting.

Job Description

We seek a highly skilled Data Specialist to join our CDS Team. The role requires a deep understanding of data pipelines and the ability to create them using our in-house developed data framework, built and maintained in Python. This technical position requires proficiency in Source Control, T-SQL, Python, and good documentation skills.

Qualifications

  • At least 3 years of experience in data engineering or related field
  • Proficiency in Source Control, T-SQL, Python, and good documentation skills
  • Deep understanding of data pipeline development and management
  • Experience with data warehousing, ETL processes, and big data technologies
  • Excellent problem-solving skills and attention to detail
  • Ability to work collaboratively with cross-functional teams.
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Azure Architecture

This role is not suitable for full-stack or frontend developers. We are looking for a highly specialized data specialist who is passionate about creating efficient and scalable data pipelines. If you have the required skills and experience, we would love to hear from you.

Additional Information

What you will be doing:

  • Develop and maintain data pipelines using our in-house developed data framework, built and maintained in Python utilizing numerous different technologies in Azure for example Synapse, Blob Storage and Redis
  • Write efficient, scalable, and maintainable code
  • Collaborate with cross-functional teams to ensure seamless integration of data pipelines into existing systems
  • Troubleshoot and resolve issues related to data pipelines
  • Create and maintain technical documentation for all data pipelines

 

Experian Careers - Creating a better tomorrow together

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Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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