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Capgemini

Data Engineer – Elastic

Capgemini

Data Engineer developing robust ELK stack solutions hosted on AWS Cloud. Collaborating with teams and ensuring production efficiency through design and optimization.

Posted 7/23/2026full-timePune • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing ELK stack solutions on AWS Cloud, with a strong focus on RESTful API development using Java Spring Boot and efficient data ingestion pipelines. Proficient in optimizing Elasticsearch clusters and managing CI/CD processes using Jenkins and GitHub Actions.

Highest-signal resume keywords
ELK Stack Solutions on AWS CloudRESTful APIsJava Spring BootJenkinsGitHub Actions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ElasticsearchLogstashJavaJSONMessage QueuesJava Batch ProcessesKafkaApache FlinkAurora DBMaven
Soft Skills
CollaborationProblem-SolvingAgile Methodologies
Tools & Technologies
AWS EC2AWS LambdaAWS S3AWS Cloud WatchAWS VPCAWS IAMAWS API GatewayAWS Step FunctionsJenkinsGitHub Actions
Industry Keywords
Cloud-Based ArchitecturesData Ingestion PipelinesSearch OptimizationIndexing StrategiesQuery Performance Tuning

Tech Stack

Tools & technologies
ApacheAWSCloudEC2ElasticSearchJavaJenkinsKafkaLogstashMavenPythonRDBMSSpringSpring BootSpringBoot

About the role

Key responsibilities & impact
  • Design and develop robust, highly scalable, and efficient ELK (Elasticsearch, Logstash, Kibana) stack solutions hosted on AWS Cloud.
  • Evaluate and optimize Elasticsearch clusters, including configuration parameters, indexing strategies, search, relevancy tuning, query performance tuning, security, scalability, and administration.
  • Design data structures and models tailored for Elasticsearch.
  • Develop complex queries with joins across large datasets using both RDBMS and Elasticsearch.
  • Build data ingestion pipelines integrating Elasticsearch with various sources via Logstash, MQ via IBM Integration Bus/ACE , and Java based batch processes scheduled on AWS EC2.
  • Develop and expose RESTful APIs using Java Spring Boot for applications hosted on AWS Lambda.
  • Write clean, high-quality, and maintainable Java code using the Spring Boot framework.
  • Collaborate with Integration and Architecture teams to design, document, build, secure, and maintain ELK based solutions.
  • Deploy applications utilizing AWS services such as EC2, S3, Lambda, Step functions, IAM, SNS, API Gateway, VPC, Transit Gateway, and Cloud Watch.
  • Manage CI/CD pipelines and DevOps process with using Jenkins and GitHub Actions.
  • Oversee build and release process with tools like Maven and Jenkins.
  • Actively participate in Agile ceremonies, providing status updates and technical insights during sprint meetings.
  • Work cross-functionally to coordinate efforts and deliver projects on time.
  • Troubleshoot and resolve production issues related to search, indexing, and backend performance.
  • Stay current with industry trends and best practices related to Elasticsearch, Java development and cloud-based architectures.

Requirements

What you’ll need
  • Must to have Skills : ELK stack solutions on AWS Cloud, RESTful APIs, Java Spring Boot/Python, JSON, Logstash, message queues, Java batch processes, Kafka, Apache Flink, and Aurora DB, Jenkins, GitHub Actions,Maven
  • Total Experience - 07 – 09 Years
  • Work Timings (India) - 01:00 PM to 10:00 PM IST

Benefits

Comp & perks
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development