Found Description
Join a transformative project as a Data Engineer working four days onsite, developing data solutions with Python and Apache Spark. This 6-month contract offers growth in cloud-native environments.
You will play a crucial role in engineering data solutions, working with large-scale datasets, and ensuring the performance of data platforms. The position requires collaboration to translate data requirements into actionable deliverables and involves a high degree of autonomy.
Key Responsibilities:
• Optimize Spark workloads tailored for cloud applications
• Work with efficient storage formats like Parquet and Iceberg
• Translate stakeholder requirements into technical solutions
• Maintain high reliability and availability of data systems
• Document processes and support deployment procedures
Requirements:
• Proficient in Python and PySpark programming
• Experience with Apache Spark in cloud environments
• Knowledge of large-scale data system architectures
You will play a crucial role in engineering data solutions, working with large-scale datasets, and ensuring the performance of data platforms. The position requires collaboration to translate data requirements into actionable deliverables and involves a high degree of autonomy.
Key Responsibilities:
• Optimize Spark workloads tailored for cloud applications
• Work with efficient storage formats like Parquet and Iceberg
• Translate stakeholder requirements into technical solutions
• Maintain high reliability and availability of data systems
• Document processes and support deployment procedures
Requirements:
• Proficient in Python and PySpark programming
• Experience with Apache Spark in cloud environments
• Knowledge of large-scale data system architectures
Ready to Apply?
Submit your application for Cloud Data Engineer – Onsite Role at S.i. Systems
Apply Now