Cognizant is seeking an experienced Data Engineer to design and optimize large-scale data systems in Banking and Financial Services. You will leverage Spark, PySpark, Spark SQL, HDFS, ADLS2, and Azure Synapse to build scalable ingestion, transformation, and processing pipelines.
Robust SDLC, Agile/Waterfall, and mentoring experience are expected. The role emphasizes data governance, security best practices, and working with cross-functional stakeholders to deliver high-quality enterprise
📌 Senior Data Engineer, Azure Spark (Sydney)
🏢 Cognizant
📍 Sydney
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