Experian
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.
10001 employees
Founded 1996
đ¤ Artificial Intelligence
đ¤ B2B
âď¸ SaaS
Data Engineering Specialist
November 19
đŁď¸đ§đˇđľđš Portuguese Required
Experian
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.
10001 employees
Founded 1996
đ¤ Artificial Intelligence
đ¤ B2B
âď¸ SaaS
đ Description
⢠Develop and maintain scalable data pipelines using Scala and Apache Spark, with a focus on performance and reusability. ⢠Design and evolve the medallion architecture (bronze, silver, gold), ensuring data governance, traceability, and quality. ⢠Implement data ingestion, transformation, and provisioning solutions in cloud and lakehouse environments. ⢠Define and apply data engineering best practices, including versioning, automated testing, and CI/CD. ⢠Support technical and architectural decisions with engineering and product teams. ⢠Work in multidisciplinary squads, collaborating with engineers, analysts, and data scientists.
đŻ Requirements
⢠Strong experience with Python, Scala, and Apache Spark in distributed environments. ⢠Proficiency in medallion architecture and data lake / lakehouse concepts. ⢠Advanced knowledge of data modeling, ETL/ELT, and data pipelines. ⢠Experience with orchestration tools such as Airflow or similar. ⢠Experience with cloud environments (Azure, AWS, or GCP). ⢠Engineering practices such as version control, testing, and automation. ⢠Language: English - Technical
đď¸ Benefits
⢠Mental health support ⢠Paid vacation ⢠Flexible schedules ⢠Professional development ⢠Career opportunities in an inclusive environment
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