Data Engineer - ELK

Kyndryl

6 - 10 years

0 - 1 Lacs

chennai bengaluru delhi / ncr

Posted:3 weeks ago| Platform:

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Skills Required

kibana elk logstash elastic search python data engineering scala kafka spark

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

6 Years experience in Data Engineer
2 to 3 Years relevant experience in ELK
Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Datapro
Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
Excellent problem-solving, analytical, and critical thinking skills
Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems

Preferred candidate profile

Experience working as a Data Engineer and/or in cloud modernization
Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
Cloud platform certification, e.g., AWS Certified Data Analytics Specialty, Elastic Certified Engineer, Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology

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