$ cat jobs/specialist-data-platform-engineering-freshworks-8e538a5f5e23.json
Specialist - Data Platform Engineering
Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. About the Role We are looking for a Data Platform Engineer (IC2) to build and operate scalable, reliable, and high-performance data platforms. In this role, you will develop streaming and batch data pipelines, manage Databricks environments, and support our event-driven data infrastructure using Kafka and Kafka Connect. This is an excellent opportunity for engineers with a strong foundation in distributed data processing who want to work on modern data engineering technologies at scale. Key Responsibilities Develop, maintain, and optimize batch and streaming data pipelines using Apache Spark and Apache Flink . Build scalable ETL/ELT workflows for processing large datasets. Manage and maintain Databricks workspaces, clusters, jobs, notebooks, and workflows. Monitor, troubleshoot, and optimize Databricks jobs for performanc
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