Azure Data Engineer

Job Description

Responsibilities - Minimum of 5 years of hands-on experience in designing, building, and optimizing data pipelines, data models and spark-based applications in Big Data environments.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 analysisProven experience working with PySpark for large-scale data processing and analysisExtensive experience in designing, building, and optimizing Big Data 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 FactoryIn-Depth Knowledge of Spark, including experience with Spark performance tuning techniques to optimal processing efficiencyStrong SQL skills for querying and manipulating large datasets, with experience in optimizing complex queries for performance Required Skills- Azure Databricks, Pyspark