Posted:4 days ago|
Platform:
Work from Office
Full Time
Key Responsibilities: Big Data Architecture: Design, build, and implement scalable Big Data solutions to process and analyze vast datasets in a timely and efficient manner. Data Pipeline Development: Develop ETL (Extract, Transform, Load) pipelines for large-scale data processing. Ensure data pipelines are automated, scalable, and robust to handle high volumes of data. Distributed Systems: Work with distributed computing frameworks (e.g., Apache Hadoop , Apache Spark , Flink ) to process big datasets across multiple systems and clusters. Data Integration: Integrate data from multiple sources (structured, semi-structured, and unstructured) into a unified data architecture.
Diverse Lynx
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