Data Engineer – Elastic

Jobtailor

Pune District

On-site

INR 1,800,000 - 2,800,000

Full time

14 days+

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Job summary

Jobtailor in Pune, India, seeks an experienced ELK on AWS engineer to design scalable Elasticsearch-based solutions, optimize clusters, and build robust data ingestion pipelines. The role emphasizes RESTful APIs and Java Spring Boot in a cloud-native environment.

You will collaborate with Architecture teams, manage CI/CD with Jenkins and GitHub Actions, and participate in Agile ceremonies to deliver high-quality software on time.

Qualifications

  • 7–9 years of total experience in relevant roles.
  • Experience designing and deploying ELK-based solutions on AWS Cloud.
  • Strong experience with RESTful APIs using Java Spring Boot.

Responsibilities

  • Design and develop ELK stack solutions on AWS Cloud.
  • Evaluate and optimize Elasticsearch clusters and indexing strategies.
  • Develop data ingestion pipelines to ingest data from multiple sources.
  • Build RESTful APIs using Spring Boot for applications on AWS Lambda.
  • Manage CI/CD pipelines with Jenkins and GitHub Actions; participate in Agile ceremonies.
  • Troubleshoot production issues related to search, indexing, and backend performance.

Skills

ELK on AWS
RESTful APIs
Java Spring Boot
Python
JSON
Logstash
Message Queues
Kafka
Maven
Jenkins
GitHub Actions
AWS Cloud
Aurora DB
Apache Flink

Tools

Jenkins
GitHub Actions
Maven
Kafka
Apache Flink
Aurora DB

Job description

  • 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
Core Competencies

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 Cloud
  • RESTful APIs
  • Java Spring Boot
  • Jenkins
  • GitHub Actions
ATS Optimization Keywords
Hard Skills
  • Elasticsearch
  • Logstash
  • Java
  • JSON
  • Message Queues
  • Java Batch Processes
  • Kafka
  • Apache Flink
  • Aurora DB
  • Maven
Soft Skills
  • Collaboration
  • Problem-Solving
  • Agile Methodologies
Industry Keywords
  • Cloud-Based Architectures
  • Data Ingestion Pipelines
  • Search Optimization
  • Indexing Strategies
  • Query Performance Tuning
Tools & Technologies
  • AWS EC2
  • AWS Lambda
  • AWS S3
  • AWS Cloud Watch
  • AWS VPC
  • AWS IAM
  • AWS API Gateway
  • AWS Step Functions
  • Jenkins
  • GitHub Actions
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