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.
Strong 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
#J-18808-Ljbffr
Senior Data Engineer, Azure Spark & Big Data in Sydney employer: Cognizant
As a leading player in the Workday ecosystem, our company offers an exceptional work environment that fosters innovation and collaboration. We prioritise employee growth through comprehensive training programs and mentorship opportunities, ensuring that our team members are equipped to excel in their roles. Located in a vibrant area, we provide a supportive culture that values work-life balance and encourages meaningful contributions to client success.
