Senior Data Engineer- Spark

Experience with Big Data TechnologiesSpark (Java or PySpark) for handling large-scale data processing.Proficiency in SQL and Database-querying, managing, and manipulating data sets.Knowledge of Cloud Platforms, data storage, processing, and deployment in a scalable environment (Azure)Design and implement scalable data processing pipelines using Apache Spark.Develop and optimize Spark jobs for data transformation, aggregation, and analysis.Work with large datasets to extract, process, and analyse data from various sources.Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions.Implement data integration solutions to connect disparate data sources.Ensure data quality, integrity, and consistency throughout the data processing pipeline.Monitor and troubleshoot performance issues in Spark jobs and cluster environments.Stay current with the latest developments in big data technologies and best practices.Document technical designs, processes, and procedures.