Senior Product Support Engineer - Hadoop

As a Senior Product Support Engineer - Hadoop SME, your role will involve designing, optimizing, migrating, and scaling Hadoop and Spark-based data processing systems. You will collaborate with customer engineering teams to deliver high-throughput applications and solve complex data challenges. If you are passionate about working in dynamic environments and cutting-edge data solutions, this role is for you. Key Responsibilities: - Design and optimize distributed Hadoop-based applications for low-latency, high-throughput performance. - Provide expert-level support for data or performance issues in Hadoop and Spark jobs and clusters. - Work extensively with large-scale data pipelines using Hadoop and Spark's core components. - Conduct deep-dive performance analysis, debugging, and optimization of Impala and Spark jobs. - Collaborate with DevOps and infrastructure teams to manage Impala and Spark clusters on platforms like Hadoop/YARN, Kubernetes, or cloud platforms. - Provide dedicated support to ensure stability and reliability of the new ODP Hadoop environment during and after migration. - Address evolving technical challenges and optimize system performance after migration to ODP. Qualifications Required: - Hands-on experience with Hadoop and other core data operations. - Ability to work in rotational shifts and support operations in a 24/7 environment. - Flexibility to adjust working hours based on team coverage needs and customer demand. Please note that artificial intelligence (AI) tools may be used to support parts of the hiring process, assisting the recruitment team without replacing human judgment. If you seek more information on how your data is processed, feel free to reach out to us.,