We are looking for a PySpark Developer with expertise in data ingestion, ETL processing, and big data cloud-based solutions . The ideal candidate will have hands-on experience in building scalable data pipelines and optimizing data processing performance . Key Responsibilities: Develop and implement data ingestion pipelines from various sources such as databases, S3, and files . Build and optimize ETL and Data Warehouse transformation processes . Develop enterprise-level Big Data solutions using PySpark, SparkSQL, and related frameworks . Create scalable, reusable, and self-service frameworks for data ingestion and processing . Ensure end-to-end integration of data pipelines , maintaining data quality and consistency . Conduct performance analysis and optimization for data processing. Apply best practices in design, automation (Pipelining, IaC), testing, monitoring, and documentation . Work with structured and unstructured data for comprehensive data management. Good to Have: Experience in cloud-based solutions (AWS, Azure, GCP). Knowledge of data management principles and best practices. If you have expertise in Big Data and ETL solutions and want to work on cutting-edge cloud-based data pipelines , apply now!

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