2 of 2 Apache Spark Jobs in Bromley

cleansed, conformed business layers) while securely handling identifiable data. Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark. Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across … experience in Microsoft Azure, with practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse).Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL ...

Scala programming to develop robust, scalable, and high-performance data processing applications. Build and optimise large-scale data processing and analytics pipelines using Apache Spark. Develop and maintain end-to-end data pipelines for both batch and real-time data processing. Apply solid understanding of data engineering concepts, including … business stakeholders. Skills & Experience: Proven experience as a Software Engineer with a strong focus on Scala development. Extensive hands-on experience with OpenShift and Apache Spark. In-depth understanding of data engineering principles and practises. Experience in developing and maintaining scalable data pipelines for batch and real-time processing. ...