Specialist - Data Platform Engineering

Company Description 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 Overview The Specialist - Data Platform Engineering is responsible for designing building and maintaining scalable data pipelines and systems that enable analytics insights and business intelligence across the organization This role will own the enterprise Data Lake and Databricks environment ensuring secure high-performance data flow across MySQL Kafka and Spark The ideal candidate combines strong technical expertise in distributed data systems with hands-on experience in modern data engineering practices Roles Responsibilities Data Infrastructure Ownership Own and manage the enterprise Data Lake infrastructure on AWS and Databricks ensuring scalability reliability and governance Design develop and optimize data ingestion and transformation pipelines from MySQL to Kafka CDC pipelines and from Kafka to Databricks using Spark Structured Streaming Build and maintain robust batch and real-time data pipelines to support high-volume high-velocity data needs Data Processing Optimization Design and implement efficient MapReduce jobs to process and transform large-scale datasets across distributed systems Optimize MapReduce workflows for performance scalability and fault tolerance in big data environments Develop metadata-driven frameworks for processing consistency lineage and traceability System Reliability Automation Implement observability and monitoring systems using Prometheus Grafana or equivalent tools to ensure proactive detection and resolution of issues Apply best practices in code quality CI CD automation Jenkins GitHub Actions and Infrastructure-as-Code IaC for consistent deployments Continuously optimize system performance and reliability through monitoring tuning and fault-tolerant design Collaboration Compliance Work cross-functionally with Product Regulatory and Security teams to ensure compliance data privacy and quality across the data lifecycle Collaborate with multiple teams to design and deliver end-to-end lakehouse solutions that integrate diverse data sources Stay current with emerging technologies in data engineering streaming and distributed systems and contribute to continuous improvement initiatives Qualifications Bachelor s or Master s degree in Computer Science Engineering or a related field 4-7 years of experience in data engineering data platform management or related domains Strong programming expertise in one or more of the following Scala Spark Java or Python Proven experience building event-driven or CDC-based pipelines using Kafka Confluent or Apache Hands-on experience with distributed data processing frameworks such as Apache Spark Databricks or Flink Deep understanding of AWS cloud services S3 Lambda EMR Glue IAM CloudWatch Solid experience deploying and managing workloads on Kubernetes EKS preferred Experience designing and managing data lakehouse architectures and implementing data governance principles Familiarity with CI CD pipelines Jenkins GitHub Actions and monitoring frameworks Prometheus Grafana ELK stack Excellent problem-solving communication and collaboration skills Skills Inventory Data Lakehouse Architecture AWS Databricks Real-time Data Streaming Kafka Spark Structured Streaming Distributed Data Processing Spark MapReduce Flink Programming Scala Python Java CI CD Automation Infrastructure as Code Kubernetes EKS Monitoring Observability Prometheus Grafana Data Governance Metadata Management Cloud Infrastructure AWS Cross-Functional Collaboration Problem Solving Additional Information At Freshworks we have fostered an environment that enables everyone to find their true potential purpose and passion welcoming colleagues of all backgrounds genders sexual orientations religions and ethnicities We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant richer environment that boosts the goals of our employees communities and business Fresh vision Real impact Come build it with us