we are looking for an ELK\ OpenSearch Data Engineer to focus on expanding the company's insights on customers' end computing data. In this position, you will be diving into the data and using different methods (Artificial Intelligence (AI), Anomaly detection, BI and more) will create crucial insights in our innovative growing products.
As a ELK\ OpenSearch Data Engineer, you will:
Become intimate with our data and learn its power and capabilities.
Become one of the thought leaders with respect of getting the most from the data- This includes BI, AI, Anomaly detection, ML and others.
Research, design and develop capabilities which are new, cutting edge and exciting.
As a ELK\ OpenSearch Data Engineer, you will:
Become intimate with our data and learn its power and capabilities.
Become one of the thought leaders with respect of getting the most from the data- This includes BI, AI, Anomaly detection, ML and others.
Research, design and develop capabilities which are new, cutting edge and exciting.
Requirements:
Extensive experience working with OpenSearch (ElasticSearch) and deep knowledge of the data-platform. This requirement is essential and will be tested in depth during an interview. Knowledge of areas such as indexing, sharding, mapping and the ElasticSearch query language are just a few areas that will be tested.
Experience working with the broader ElasticSearch (ELK) stack such as Kibana.
Experience working on and with web-based backend architectures such as REST, sockets, client-server.
Comfortable working individually or in a team and can handle tasks without deep supervision.
Requirements:
Extensive experience working with OpenSearch (ElasticSearch) and deep knowledge of the data-platform. This requirement is essential and will be tested in depth during an interview. Knowledge of areas such as indexing, sharding, mapping and the ElasticSearch query language are just a few areas that will be tested.
Experience working with the broader ElasticSearch (ELK) stack such as Kibana.
Experience working on and with web-based backend architectures such as REST, sockets, client-server.
Comfortable working individually or in a team and can handle tasks without deep supervision.
Nice to Have:
Existing experience with AI such as GPT, ML models and anomaly detection. This is not essential as we will look to hire someone who can learn these areas quickly but having experience already will be a significant lead.
Experience developing with Java. This would be a big advantage, especially if you are capable of working on the open source OpenSearch codebase to add or modify capabilities that we could use.
Experience with front-end development including TypeScript, React, HTML and CSS. This is not essential but it would be good for quick prototyping for example.
Extensive experience working with OpenSearch (ElasticSearch) and deep knowledge of the data-platform. This requirement is essential and will be tested in depth during an interview. Knowledge of areas such as indexing, sharding, mapping and the ElasticSearch query language are just a few areas that will be tested.
Experience working with the broader ElasticSearch (ELK) stack such as Kibana.
Experience working on and with web-based backend architectures such as REST, sockets, client-server.
Comfortable working individually or in a team and can handle tasks without deep supervision.
Nice to Have:
Existing experience with AI such as GPT, ML models and anomaly detection. This is not essential as we will look to hire someone who can learn these areas quickly but having experience already will be a significant lead.
Experience developing with Java. This would be a big advantage, especially if you are capable of working on the open source OpenSearch codebase to add or modify capabilities that we could use.
Experience with front-end development including TypeScript, React, HTML and CSS. This is not essential but it would be good for quick prototyping for example.
This position is open to all candidates.
