Senior Product Support Engineer - Hadoop
AcceldataBengaluru, Karnataka, India
Posted October 24, 2025
Full Time
About the Company
Acceldata is a data observability and agentic data management company that empowers enterprises to deliver trusted data for AI and other initiatives. Built on the world’s first enterprise data observability platform, its xLake Reasoning Engine drives automated data discovery, quality, and pipeline monitoring across hybrid cloud environments and leading data warehouses such as Snowflake, Databricks, AWS, Azure, and Google Cloud. Acceldata’s solutions are adopted by global leaders—including Nestlé, Dun & Bradstreet, and Hershey—highlighting its ability to scale complex data operations while ensuring reliability and performance. With backing from top venture firms and a culture that champions rapid innovation, Acceldata offers a compelling environment for data professionals seeking to shape the future of data-driven organizations.
Job Description
We are seeking a Senior Product Support Engineer - Hadoop SME who will be responsible for designing, optimising, migrating and scaling Hadoop and Spark-based data processing systems.
Requirements
- Design and optimise distributed Hadoop-based applications
- Troubleshooting: Provide expert-level support for data or performance issues in Hadoop and Spark jobs and clusters
- Data Processing Expertise: Work extensively with large-scale data pipelines using Hadoop and Spark's core components
- Performance Tuning: Conduct deep-dive performance analysis, debugging, and optimisation of Impala and Spark jobs to reduce processing time and resource consumption
- Cluster Management: Collaborate with DevOps and infrastructure teams to manage Impala and Spark clusters on platforms like Hadoop/YARN, Kubernetes, or cloud platforms (AWS EMR, GCP Dataproc, etc.)
- Migration: Provide dedicated support to ensure the stability and reliability of the new ODP Hadoop environment during and after migration