Senior Data Engineer

Responsibilities:

• Design and implement scalable data platforms and pipelines on AWS services like Redshift, S3, and MWAA/Airflow to support analytics and AI/ML initiatives.
• Work collaboratively to build a data warehouse, process data using Python, and operationalize data for AI use cases by creating feature pipelines and model inputs.
• Utilize AI-assisted development tools for code generation and automation to enhance developer productivity and reduce manual effort.

Qualifications:

• Possess 5+ years of Data Engineering experience with 5 years in Python scripting and Agile methodologies, plus 3 years with the AWS ecosystem (Redshift, EMR, S3, MWAA).
• Demonstrate strong SQL skills for understanding and troubleshooting complex queries, along with the ability to translate business requirements into technical specifications.
• Hold a BS degree or higher in computer science or a related field, with a focus on understanding complex metrics and supporting production systems.

Culture and Benefits:

• Experian promotes a people-first culture with a focus on DEI, work/life balance, and development, recognized globally as a Great Place to Work.
• Benefits include medical, life, and dental insurance, flexible remote work, paid time off, performance bonuses, education reimbursement, and family bonding leave.
• The company is an Equal Opportunity employer that values innovation and diversity, encouraging employees to bring their whole selves to work in an inclusive environment.