Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Key Responsibilities: We are seeking a highly skilled and experienced Engineer to help us with the design and implementation of Future GCP Native Data Processing Framework. The ideal candidate will have extensive experience building scalable data solutions, strong analytical skills, and a passion for leveraging GCP Services to develop Tools and Framework to support Data Engineering Teams. Help with the design and implementation of the of the Data Processing Framework that leverages GCP Cloud Native Services. Ensure data integrity, consistency, and availability across all data systems. Develop documentation and standards for data processes and procedures. Experience: Minimum of 10+ years of experience in data engineering, with a focus on data architecture and pipeline development. Proven experience with Cloud platforms (GCP) and big data technologies (e.g., PySpark, Databricks, Big Query, GCP Services) Proven experience with Orchestration Solutions (e.g., Airflow,Dagster, Comparable GCP Services). Understanding of Data Lake Table Formats like Delta, Iceberg. Skills: Proficiency in programming languages such as Python Familiarity with data lake architectures and best practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills.
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