(Summary generated by AI based on the full job description)
The project covers building and transforming data platforms for aerospace, energy and automotive domains. Technologies used include Databricks, Apache Spark/PySpark, Azure, Airflow/Dagster, Delta Live Tables, Kafka/Event Hub and CI/CD and MLOps tooling. Responsibilities include designing scalable streaming and batch pipelines, implementing data transformations (DBT/Databricks), ensuring data governance and quality, integrating diverse sources, collaborating with Data Science and building Power BI dashboards. Required minimum 5 years experience and strong Python skills.




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