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Tier-1 employer, metro location, mid-level generalist role and broad skillset increase applicant competition.
Core data engineering skills are transferable, but aerospace Skywise and Palantir specifics increase domain specificity.
Explicit five-year requirement plus mandatory BigData, Python, PySpark and AWS skills.
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Design, develop, test, and release BigData solutions including KPIs and dashboards on the Skywise platform.
Understand and analyze business processes and technical architecture of Airbus applications to deliver data-driven services.
Collaborate with project leaders, product owners, and support teams to maintain and improve data pipelines and dashboards.
Graduate degree in Information Technology, Engineering or related field.
Minimum 5 years experience in BigData development with strong hands-on skills in Python, PySpark, JavaScript, AWS, and Cloud technologies.
Proficiency in SQL, relational databases, data transformation pipelines, and data analysis techniques.
English language proficiency at negotiation level.
Experienced developer skilled in server-side BigData processing using Python and PySpark in cloud environments.
Capable of independently prototyping and delivering data products such as KPIs and dashboards in an agile setting.
Able to effectively communicate and collaborate with cross-functional teams including product owners and support staff.