Capgemini Technology Services India Limited

FBS Data Engineer - Elastic

Capgemini Technology Services India Limited
Pune
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 7 yearsMin. 7 years

Job Description

FBS Data Engineer - Elastic

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

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

Competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally renowned group
  6. Private Health Insurance
  7. Pension Plan
  8. Paid Time Off
  9. Training & Development

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

https://www.capgemini.com/us-en/about-us/who-we-are/

Experience Level

Senior Level

Job role

Work location
Work locationPune, Maharashtra, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 7 years

About company

Name
NameCapgemini Technology Services India Limited
Job posted by Capgemini Technology Services India Limited

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