Senior Data Engineer

• Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems
• Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle from initial design and development to deployment and ongoing maintenance
• Develop robust and efficient Hive queries for extensive data analysis and reporting
• Champion and enforce best practices and coding standards for new and existing data flows to ensure they are robust, scalable, secure, and maintainable using Spark, Scala/Java, and Hive within the big data ecosystem
• Diagnose, troubleshoot, and resolve complex issues related to Spark, Scala/Java, and Hive applications and YARN resource management, implementing performance optimization solutions
• Proactively collaborate with stakeholders, working closely to develop solutions with full commitment and accountability

• Proven hands-on development expertise with Apache Spark
• Strong programming proficiency in Scala and/or Java
• In-depth knowledge and practical experience with Hive, including query optimization and data analysis
• Experience with data platforms such as Cloudera Data Platform (CDP) is highly desirable
• Bachelor's / Master's degree/University degree or equivalent experience

Experience with Cloudera Data Platform (CDP)