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We are looking for a Big Data Engineer to design, build, and optimize large-scale data pipelines and platforms that support analytics, machine learning, and business intelligence. The ideal candidate has strong experience with distributed data systems, real-time processing, and modern data engineering tooling.ResponsibilitiesDesign, develop, and maintain scalable data pipelines and big data architectures for batch and real-time processing.Build and optimize ETL/ELT workflows, ensuring data quality, reliability, and high performance.Work with distributed computing frameworks (e.g., Hadoop, Spark, Flink) to process large datasets.Manage and optimize data storage solutions, including data lakes, warehouses, and NoSQL systems.Collaborate with analytics, data science, and business teams to deliver clean, well-structured data products.Monitor, troubleshoot, and improve data infrastructure, ensuring security, availability, and scalability.Implement best practices for data governance, metadata management, and documentation.
