Data Engineer: Scalable Pipelines & Real-Time Data
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QODE is seeking a Data Engineer to design, build, and optimize scalable data pipelines and ETL/ELT processes. You will work with Python, PySpark, Java, Kafka, Hadoop, REST APIs, and SQL to enable BI, analytics, and data-driven decision making.
The role involves real-time and batch data processing, data ingestion, and collaboration with cross-functional teams in an Agile environment. Experience with cloud platforms is a plus, and strong problem-solving skills are required.
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