Data Engineering Specialist, II

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Design, implement, and sustain modern Data Lake and Lakehouse architectures • Build and optimize both real-time and batch data ingestion pipelines • Establish Data Quality standards and security/privacy policies • Serve as a technical reference for the team and promote development best practices • Identify bottlenecks in large-scale data processing

🎯 Requirements

• Minimum of 7 years of hands-on experience in Data Engineering • Advanced experience with Apache Spark (PySpark/Scala) and workflow orchestrators (such as Airflow, Prefect, or Dagster) • Proficiency in Python or Scala, plus strong SQL skills • Knowledge of dimensional modeling techniques • Experience with Terraform or similar infrastructure-as-code tools

🏖️ Benefits

• Health insurance • DEI initiatives • Work/life balance • Professional development • Wellness programs