Specialist - Data Platform Engineering

Freshworks
Chennai
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 3-4 yearsEducation: bachelorsSkills: ["Problem-solving","Debugging","Collaboration"]

Build and operate scalable batch and streaming data platforms. Develop and optimize Spark and Flink pipelines, create ETL/ELT workflows for large datasets, and manage Databricks workspaces, clusters, and job orchestration. Support event-driven processing with Kafka and Kafka Connect by configuring and troubleshooting connectors, ensuring reliability through monitoring and incident response, and improving performance, observability, and automation through continuous improvement.

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FursaFursa
Freshworks
Freshworks
3 days ago

Specialist - Data Platform Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Build and operate scalable batch and streaming data platforms. Develop and optimize Spark and Flink pipelines, create ETL/ELT workflows for large datasets, and manage Databricks workspaces, clusters, and job orchestration. Support event-driven processing with Kafka and Kafka Connect by configuring and troubleshooting connectors, ensuring reliability through monitoring and incident response, and improving performance, observability, and automation through continuous improvement.
Location: Chennai
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

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, including performance and cost optimization.
  • •Work with Kafka for event-driven processing and configure, deploy, and troubleshoot Kafka Connect connectors.
  • •Ensure data reliability with monitoring, alerting, incident response, root cause analysis, and ongoing automation, documentation, and continuous improvement.

Key Requirements

  • •Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • •3–4 years of experience in software engineering or data engineering.
  • •Strong programming skills in Java, Scala, or Python.
  • •Hands-on experience with Apache Spark and knowledge of Apache Flink for stream processing.
  • •Experience with Databricks (cluster management and job orchestration) and Kafka concepts (partitions, producers, consumers), plus familiarity with Kafka Connect.
Experience:3-4 yearsDistributed systemsData pipelinesStreaming architectures
Education:Bachelor's in Computer Science, Engineering, or a related field
Skills:Problem-solvingDebuggingCollaboration
Languages:English
Tech Stack:JavaScalaPythonApache SparkApache FlinkDatabricksApache KafkaKafka ConnectDelta LakeAWSAzureGCPAirflowArgo WorkflowsPrometheusGrafanaKubernetesSQLGitCI/CD

Company Brief

Freshworks
Provides cloud-based customer engagement, CRM and ITSM software (Freshdesk, Freshservice, Freshsales) that helps businesses manage customer and employee experiences through SaaS products and AI-driven tools.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Mateo, United States
Founded: 2010
Glassdoor
Glassdoor: 3.5
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