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Export Genius
Export Genius cover picture
Founded :
2001
Type :
Services
Size :
20-100
Stage :
Profitable

About

Export Genius is one of the top import export data provider. Our customs data and analysis report cover importer exporter name and full export import shipment details. We offer bilateral trade data by country, product, HS code, company, port, monthly, yearly etc.
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Jobs at Export Genius

Export Genius
at Export Genius
Ashish Singh
Posted by Ashish Singh
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Delhi
4 - 8 yrs
₹5L - ₹15L / yr
Elastic Search
Kibana
Logstash
Indexing
Query optimization
+1 more

Job Title: ELK Stack Engineer

Position Overview:

We are seeking a skilled and experienced Senior Elasticsearch Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines using the ELK Stack (Elasticsearch 7.1 or higher, Logstash, Kibana). The Senior Elasticsearch Developer will play a key role in managing large datasets, optimizing complex queries, and maintaining self-hosted Elastic Search clusters.


Responsibilities:

  • Design, develop, and maintain data pipelines using the ELK Stack.
  • Handle large datasets (3 billion+ records, 100+ fields per index) with efficiency and accuracy.
  • Develop and optimize complex Elasticsearch queries for efficient data retrieval and analysis.
  • Manage and maintain self-hosted Elastic Search clusters.
  • Implement DevOps practices, including containerization with Docker.
  • Perform backups, disaster recovery, and index migrations to ensure data security and integrity.
  • Execute data processing and cleaning techniques, including writing custom scripts to extract and transform data into usable formats.
  • Collaborate with the engineering team to integrate Elastic Search with other systems.


Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Minimum 5+ years of experience in designing, developing, and maintaining data pipelines using the ELK Stack.
  • Hands-on experience handling large datasets (3 million+ records, 50+ fields per index).
  • Strong proficiency in developing and optimizing complex Elasticsearch queries.
  • Experience managing and maintaining self-hosted ElasticSearch clusters.
  • Proficiency in DevOps practices, including containerization with Docker.
  • Knowledge of security best practices, including backups, disaster recovery, and index migrations.
  • Experience with database administration and data processing techniques.
  • Excellent communication and teamwork skills.


Benefits:

  • Competitive salary and benefits package between 20 to 35 LPA.
  • Opportunities for professional development and growth.
  • Collaborative and inclusive work environment.
  • Flexible work hours and remote work options.

 

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