Elasticsearch Jobs
Elasticsearch is a powerful search engine built to enable the most complex of sites to support incredibly large amounts of data. It allows development teams to slice and dice big data from across varied sources, analyze it and meaningfully present it in an organized manner. Search results can be made more relevant to the users based on the query and available data. A professional Elasticsearch consultant can help bring out the best of your businesses existing and new data: analyzing, segmenting and visualizing this data to increase search relevance and make it work for you.
Here's some projects that our expert Elasticsearch Professionals made real:
- Developing software to integrate Elasticsearch and MySQL databases
- Creating rest API for OpenSearch engine with JavaScript or Python
- Ingesting CSV files through HTTP with PySpark or Pandas
- Automating log file transfer from AWS CloudWatch into Elasticsearch
- Setting up AWS Lambda functions
Whether your team needs assistance visualizing existing data, integrating multiple sources in your cloud, or transferring files from AWS, an expert Elasticsearch Professional can help. Let us help you unlock the power of Big Data using Elasticsearch. Post your project on Freelancer.com today and start exploring what’s possible for your business.
From 20,669 reviews, clients rate our Elasticsearch Professionals 4.85 out of 5 stars.Hire Elasticsearch Professionals
I am looking for an experienced Elasticsearch expert to optimize our existing server. Currently, the server is running but not optimized, causing a slower search response time. Skills and Experience: - Strong knowledge and experience in Elasticsearch server optimization - Ability to identify and resolve issues/error messages - Familiarity with data storage capacity and data security enhancements Expected Outcome: - Improved search response time, resulting in faster and more efficient searches for our business.
"We are seeking a Senior Data Engineer who possesses extensive experience and proficiency in a range of key technologies and tools. The ideal candidate should have a strong background in Python, demonstrating skillful use of this programming language in data engineering contexts. Proficiency in Apache Spark is essential, as we rely heavily on this powerful analytics engine for big data processing. Experience with PySpark, the Python API for Spark, is also crucial. In addition to these core skills, we require expertise in AWS cloud services, particularly AWS Glue and Amazon Kinesis. Experience with AWS Glue will be vital for ETL operations and data integration tasks, while familiarity with Amazon Kinesis is important for real-time data processing applications. Furthermore, the candida...
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