Elastic - Boston, MA
posted 4 months ago
Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. As the world's leading software provider for making structured and unstructured data usable in real-time for search, logging, security, and analytics use cases, Elastic's global community has more than 80,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 100 million cumulative downloads. Today, thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, X-Pack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. In this role, you will design and conduct moderately complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps. You will enforce data governance standards and procedures, identify data quality metrics, and implement data quality audits to benchmark the quality of data. Additionally, you will design and monitor data governance, data quality, and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for company-wide data management functions. You will support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates, and work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls and data lineage. Maintaining necessary processes, controls, and procedures to ensure data accuracy and integrity will also be part of your responsibilities, along with performing complex analysis of master and reference datasets and conducting data validation.