Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch

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Job Overview

The Software Engineer - Data Infrastructure (OpenSearch/ElasticSearch) will play a crucial role in enhancing the organization's data handling capabilities. This position involves designing, implementing, and maintaining robust data infrastructures that efficiently leverage OpenSearch and ElasticSearch technologies. The successful candidate will collaborate with cross-functional teams to ensure seamless data integration, optimize search capabilities, and enhance system performance, all while adhering to best practices in data management and application development.

Job Responsibilities

• Design, implement, and maintain scalable data pipelines and architectures leveraging OpenSearch and ElasticSearch.
• Collaborate with data scientists and analysts to optimize search queries and improve data retrieval performance.
• Ensure data integrity and security throughout the data lifecycle.
• Monitor and troubleshoot existing data infrastructure components to ensure high availability and reliability.
• Document processes, structures, and procedures relevant to data infrastructure management.
• Stay updated on industry trends and emerging technologies to enhance data handling strategies.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in software development, with a focus on data infrastructure.
• Strong expertise in OpenSearch and/or ElasticSearch, including experience with index management and query optimization.
• Proficiency in programming languages such as Python, Java, or Go.
• Experience with data modeling and data warehousing concepts.
• Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes).

Technologies & Tools

This position involves a significant focus on OpenSearch and ElasticSearch technologies for data retrieval and indexing. In addition, familiarity with data modeling tools, programming environments like Python and Java, and cloud services such as AWS will be essential. The use of DevOps tools for automated deployments and monitoring services will also be integral to the role.

Ideal Candidates

The ideal candidate for this position will possess a strong analytical mindset, with a keen ability to solve complex data challenges efficiently. They will demonstrate excellent communication skills to collaborate with stakeholders across departments and have a proactive approach to learning and applying new technologies. Moreover, qualities such as adaptability, attention to detail, and a passion for data-driven decision-making will greatly enhance their fit within the team.