Job Description
Join a cutting-edge team as a Data Engineer, focusing on Python and PySpark to build robust data solutions. This 6-month contract role requires onsite presence for four days a week.
In this position, you will leverage your strong background in Python and hands-on experience with Apache Spark in cloud-native environments. Your expertise with large-scale data systems and modern formats like Parquet and Iceberg will be crucial for developing and optimizing data workflows. Collaborating with stakeholders will also be a key part of your role, translating requirements into actionable engineering outcomes.
Key Responsibilities:
• Develop Spark-based workloads in cloud settings
• Work on large-scale datasets with optimal storage formats
• Translate data requirements into engineering deliverables
• Ensure data platforms' high availability and reliability
• Monitor and document processes for production readiness
Requirements:
• Strong expertise in Python and PySpark
In this position, you will leverage your strong background in Python and hands-on experience with Apache Spark in cloud-native environments. Your expertise with large-scale data systems and modern formats like Parquet and Iceberg will be crucial for developing and optimizing data workflows. Collaborating with stakeholders will also be a key part of your role, translating requirements into actionable engineering outcomes.
Key Responsibilities:
• Develop Spark-based workloads in cloud settings
• Work on large-scale datasets with optimal storage formats
• Translate data requirements into engineering deliverables
• Ensure data platforms' high availability and reliability
• Monitor and document processes for production readiness
Requirements:
• Strong expertise in Python and PySpark
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