(Summary generated by AI based on the full job description)
The project focuses on building and transforming data platforms for clients in aerospace, energy and automotive. Core stack includes Databricks, Apache Spark/PySpark, Python with orchestration Airflow/Dagster and cloud components on Azure, plus Kafka/Event Hub where applicable. Responsibilities cover designing scalable streaming and batch pipelines, developing CI/CD and MLOps, implementing Databricks/DBT transformations, data integration, cloud deployments, collaborating with Data Science on ML projects and building Power BI reports. Requirement: at least 5 years of experience and strong Python and data modeling skills.




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