Take on a pivotal role as a Data Engineer at Total Fund Management, focusing on optimizing cloud data systems. Utilize Spark and modern formats to enhance data processing.
In this hands-on position, the Data Engineer will join the Portfolio Management Technology team to focus on building robust cloud data architectures. You'll be responsible for optimizing Spark workloads and working with large datasets to achieve high performance and reliability. Your contributions will also involve monitoring and supporting deployment processes.
Key Responsibilities:
• Develop Spark workloads in cloud environments
• Utilize Parquet and Iceberg for large datasets
• Create engineering solutions from requirement specifications
• Ensure the system's performance and maintainability
• Participate in project monitoring and documentation
Requirements:
• Proficient in Python and PySpark
• Practical experience with Apache Spark in cloud settings
• Familiar with Databricks and large-scale data systems
• Background in client delivery roles
• Strong problem-solving skills in undefined environments
Harness your technical skills to optimize cloud data systems at Total Fund Management.
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