Data Engineer

Cohesity is the leader in AI-powered data security. Over 13,600 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 company’s 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.

We’ve 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 ingest data from disparate source systems into data lake/Cloud based data warehouse solutions and further transform the data to be consumed by downstream applications primarily for Corporate Analytical reporting. This role would also need focus on initiatives to scale the platform with focus on AI/ML and LLM.

How You’ll Spend Your Time Here

• Establish and maintain Data pipelines(Real time and Batch).
• Develop and maintain code for Data ingestion/Data transformations.
• 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 core data management principles and best practices
• Lead initiatives and projects across multiple functional areas.
• Provide technical leadership and mentoring to team members.
• Enhance the Data Platform and introduce automation wherever possible by adhering to standards.
  
  

WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING

• B.E/ B.Tech or any equivalent degree
• Atleast 1 years of experience in Data-warehouse/analytics/databases/Pipelines.
• Experience in Snowflake Cloud Data Warehouse Solution
• Experience in SQL.
• Experience in ETL/ELT tools. (Matillion ETL tool preferred).
• Experience working on Data Modeling and preferably Data Vault 2.0 method.
• Experience in Linux.
• Experience in working with API’s.
• Experience in GitHub or GitLab for code maintenance.
• Strong communication skills.
• Strong technical knowledge to build efficient technical solutions.
  
  

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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 at 1-855-9COHESITY or talent@cohesity.com 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.