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Data Engineer (Senior Consultant to Senior Manager)

Capgemini

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Job Summary


Salary
$5,714 - $9,286 SGD / Monthly EST

Job Type
Permanent

Seniority
Manager
Senior

Years of Experience
6-15 years

Tech Stacks
ETL
Docker
Oracle
Druid
Spring
Subversion
HBase
SVN
Git
Azure
ES6
Maven
Kubernetes
kafka
Elasticsearch
SQL
PostgreSQL
Redis
Springboot
AWS
Java

Job Description


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We are looking for experienced engineers ready to jump right into a complex and dynamic environment to start getting things done by implementing clean, high-quality Data Engineering solutions, using the most appropriate technology.

  • Data Engineer who will work on the software solution implementation for TEAS; Java, Spring Boot, Docker, Microservices, Kafka, Agile. Build, enhance and test software applications that supports business users and/or other applications
  • Design, construct, test and maintain robust, reliable, and scalable data pipeline infrastructure;
  • Should be familiar with common ETL patterns/architecture
  • Consulting on the operation of existing and newly developed data pipelines in terms of the DevOps approach
  • Analyze and troubleshoot existing data pipelines
  • Able to learn and research new technologies to provide technical solution to business needs
  • Provide technical expertise in building technology solutions and automate existing manual processes
  • Assist in the implementation of key data quality processes and metrics

Key Requirements

  • 6-15 years experience as a data engineer, developing ETL processes
  • 6-15 years experience with RDBMS development (in Oracle and/or PostgreSQL) and common RDBMS concepts
  • Experience on Java 8 or higher
  • Experience in writing complex SQL queries and data modeling
  • Experience with Maven
  • Experience with version control systems (ex. Git, Subversion)
  • Experience with JIRA and Confluence
  • Experience with big data open-source tools such as Kafka, ElasticSearch, Redis, Hbase, Druid etc.
  • Experience in Spring framework
  • Experience in DevOps-related activities (ex. CICD pipelines, version control, artifact creation, etc...)
  • Experience in Docker/Kubernetes
  • Experience in Cloud Services (e.g. Azure/AWS)

Salaries of Data Engineer at Capgemini

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Estimated Salary Range

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