Data Engineer

Required Technical Skill Set** Azure, Databricks, PySpark, Python Minimum of 6 years of hands-on experience in designing, building, and optimizing data pipelines, data models and PySpark for large-scale data processing and analysis Extensive experience and deep expertise in data modeling and data model concepts, particularly with large datasets, ensuring the design and implementation of efficient, scalable, and high-performing data models. Strong software engineer, you take pride in what you're developing with a strong testing ethos. String proficiency in Python programming, with a focus on data processing and analysis Extensive experience in designing, building, and optimizing ADB/PySpark pipelines and architectures, with a strong focus on supporting both batch and real-time data workflows. Hand-on Experience with cloud technologies and big data concepts, especially in Azure Databricks, Azure Data Lake and Azure Data Factory In-Depth Knowledge of PySpark, including experience with PySpark performance tuning techniques to optimal processing efficiency Strong SQL skills for querying and manipulating large datasets, with experience in optimizing complex queries for performance