Data Engineer (Databricks)

Аналитика рынка

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Описание

Обязанности: Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster., Contribute to the development of CI/CD and MLOps processes., Develop applications to aggregate, process, and analyze data from diverse sources., Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building., Develop and organize data transformations using Databricks/DBT and Apache Airflow., Translate business requirements into technical solutions and ensure optimal performance and quality. Опыт: At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems., Strong programming skills in Python: writing a clean code, OOP design., Experience in designing and implementing data governance and data management processes., Familiarity with Big Data technologies like Databricks, Spark, Azure Event Hub, Airflow, Dagster or Kafka., Experience implementing and deploying solutions in cloud environments (with a preference for Azure)., Knowledge of how to build and deploy Power BI reports and dashboards for data visualization., Excellent understanding of dimensional data and data modeling techniques., Excellent communication skills and consulting experience with direct interaction with clients., Ability to work independently and take ownership of project deliverables., Master’s or Ph.D. in Computer Science, Data Science, Mathema

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