Data Engineer
Data Engineer
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Job Description
Cohesity is the leader in AI-powered data security. Over 13600 enterprise customers including over 85 of the Fortune 100 and nearly 70% of the Global 500 rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas enterprise data protection business the companys solutions secure and protect data on-premises in the cloud and at the edge. Backed by NVIDIA IBM HPE Cisco AWS Google Cloud and others Cohesity is headquartered in Santa Clara CA with offices around the globe.
Weve been named a Leader by multiple analyst firms and have been globally recognized for Innovation Product Strength and Simplicity in Design and our culture.
Want to join the leader in AI-powered data security
Business Intelligence and Analytics- Data Engineering team mission is to build and maintain a trust-worthy centralized data store for business applications which will enable Analyst and Platform Users to make data driven decisions and build meaningful insights. Our goal is to empower the business at every level to have access to the data at their fingertips and make data driven decisions while maintaining the data quality and integrity.
As a Data Engineer you will be part of Data Engineering team.The purpose of this role is to develop and implement technical Solutions to ingestdatafrom disparate source systems intodatalake/Cloud baseddatawarehouse solutions and further transform thedatato be consumed by downstream applicationsprimarilyfor CorporateAnalyticalreporting. This role would also need focus on initiatives to scale the platform with focus on AI/ML and LLM.
HOW YOULL SPEND YOUR TIME HERE
Establish and maintainDatapipelines(Real time and Batch).
Develop and maintain code forDataingestion/Datatransformations.
Validate and perform Testing and Perform migration/production release.
Provide documentation for the deliverables.
Able to work in an agile based environment.
Able to finetune and make modifications to the code to improve performance.
Establish coredatamanagement principles and best practices
Lead initiatives and projects across multiplefunctional areas.
Provide technical leadership and mentoring to team members.
Enhance theDataPlatform and introduce automation wherever possible by adhering to standards.
WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING
B.E/ or any equivalent degree
Atleast 1 years of experience in Data-warehouse/analytics/databases/Pipelines.
Experience inSnowflakeCloudDataWarehouse Solution
Experience in SQL.
Experience in ETL/ELT tools. (Matillion ETL tool preferred).
Experience working onDataModeling and preferablyDataVault 2.0 method.
Experience in Linux.
Experience in working with APIs.
Experience in GitHub or GitLab for code maintenance.
Strong communication skills.
Demonstrated ability to leverage AI tools to enhance productivity streamline workflows and support decision making
Strong technical knowledge to build efficient technical solutions.
Data Privacy Notice for Job Candidates:
For information on personal data processing please see our .
Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying you may contact us atCOHESITY or for assistance.
In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.
Employment Type
Full-Time
