Found Description
Elevate your data engineering skills with a 6-month contract role requiring strong Python and PySpark experience. Work onsite four days a week while developing data solutions in a dynamic setting.
This position is focused on supporting cloud-native environments using Apache Spark and large-scale data systems. Candidates will be responsible for developing and optimizing Spark-based workloads, collaborating with stakeholders to fulfill data requirements, and ensuring the reliability of data platforms.
Key Responsibilities: • Develop and optimize cloud-based Spark workloads • Manage and manipulate large-scale datasets • Collaborate with stakeholders for data engineering needs • Ensure high availability and maintainability of platforms • Contribute to monitoring, documentation, and deployment
Requirements: • Strong Python and PySpark experience • Hands-on with Apache Spark in cloud environments • Must understand Parquet and Iceberg formats • Experience with Datab...
This position is focused on supporting cloud-native environments using Apache Spark and large-scale data systems. Candidates will be responsible for developing and optimizing Spark-based workloads, collaborating with stakeholders to fulfill data requirements, and ensuring the reliability of data platforms.
Key Responsibilities: • Develop and optimize cloud-based Spark workloads • Manage and manipulate large-scale datasets • Collaborate with stakeholders for data engineering needs • Ensure high availability and maintainability of platforms • Contribute to monitoring, documentation, and deployment
Requirements: • Strong Python and PySpark experience • Hands-on with Apache Spark in cloud environments • Must understand Parquet and Iceberg formats • Experience with Datab...
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