O pozici / o projektu Původní popisek. We support recruitment for a US-based company that is a provider of mission-critical background screening solutions. They work with Fortune 100 clients helping them manage risk and hire the best talent.
O pozici / o projektu
Původní popisek. We support recruitment for a US-based company that is a provider of mission-critical background screening solutions. They work with Fortune 100 clients helping them manage risk and hire the best talent. This role will provide you with an outstanding opportunity to work for an industry-leading company. With over 4500 employees from 30+ different nationalities, you will be working with a diverse bunch of creatives redefining the world of digital background check and verification services across the globe.
We’re seeking a self-motivated Data Engineer with strong Python/PySpark skills to join the Data Engineering Team and help build the Azure Data Analytics Platform. The ideal candidate is an independent, collaborative team player who leads projects, identifies process gaps, and continuously develops expertise in Human Capital technology.
The role involves developing reusable, metadata-driven data pipelines, automating platform processes, building data integrations, extending ETL libraries, writing unit tests, creating Databricks monitoring solutions, proactively resolving ETL issues, collaborating on cloud resources, updating documentation, conducting code reviews, and enhancing platform architecture.
The position is offered on a B2B contract from March to December 2026, with the possibility of continued collaboration afterward.
Odpovědnosti
Původní popisek. • Build reusable, metadata-driven data pipelines.
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