Concentrix
Concentrix is a global provider of fully integrated technology and business transformation services. The company specializes in creating innovative solutions through strategy and design, data and analytics, enterprise technology, digital operations, and more. It focuses on delivering operational excellence and advanced automation, acting as a seamless extension of its clients' businesses. Concentrix equips enterprises with capabilities in AI, APIs, advanced analytics, and offers services across various industries like automotive, banking, healthcare, and retail. With a commitment to sustainability, Concentrix aims to be a force for good while enhancing its clients' customer experiences and operational efficiencies.
Renewals Management • Technical Support • Customer Care • Cross Channel Media • Sales and Marketing
Senior Data Engineer, Pyspark, Apache, Big Data
4 days ago
Concentrix
Concentrix is a global provider of fully integrated technology and business transformation services. The company specializes in creating innovative solutions through strategy and design, data and analytics, enterprise technology, digital operations, and more. It focuses on delivering operational excellence and advanced automation, acting as a seamless extension of its clients' businesses. Concentrix equips enterprises with capabilities in AI, APIs, advanced analytics, and offers services across various industries like automotive, banking, healthcare, and retail. With a commitment to sustainability, Concentrix aims to be a force for good while enhancing its clients' customer experiences and operational efficiencies.
Renewals Management • Technical Support • Customer Care • Cross Channel Media • Sales and Marketing
📋 Description
• We're Concentrix, the intelligent transformation partner. • Seeking a skilled Data Engineer to design, develop, and maintain data pipelines. • Utilize PySpark and Apache Spark for big data processing. • Implement data solutions using Google Cloud Platform services. • Use Dremio for data querying and rapid data access.
🎯 Requirements
• Bachelor’s degree in Computer Science, Data Science, or a related field. • Proven experience as a Data Engineer or in a similar role. • Strong proficiency in PySpark, Apache Spark, Apache Iceberg, and Dremio. • Experience with Google Cloud Platform. • Expertise in Python data libraries (Pandas, Numpy, Scikit-learn). • Strong knowledge of SQL, particularly Oracle SQL. • Excellent analytical skills and problem-solving abilities. • Ability to work in a team-oriented and collaborative environment.
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