Senior Data Engineer
United States
Cohesity
Cohesity gives you both data security and data management. Defend against ransomware with immutable backup, AI-based early threat detection, and rapid data recovery.Cohesity is on a mission to radically simplify how organizations manage their data to unlock limitless value. We make it easy to back up, manage and derive value from data while protecting data against ransomware attacks. At Cohesity, we’re encouraged to think big and we take on dynamic goals that require innovative thinkers. Obsession with our customers keeps us humble and drives us to keep learning.
We’ve been named a Leader by multiple analyst firms, and are prominently featured in the Forbes Cloud 100 and CRN’s Coolest Cloud companies.
About This Role:
At Cohesity, we are building the next generation data management and analytics platform as a service, a first of its kind in the industry. This builds upon the unique tech stack Cohesity is known for. Join us and help make the first release for a major company initiative. This is an amazing opportunity for a hands-on, seasoned Data Engineer who can not only define but also partner across teams on technical projects.
Responsibilities:
- Provide technical leadership, and mentoring to team members
- Work with product managers to understand customer requirements and design and deliver cloud SaaS services
- Perform the role of data engineer within the team, building and owning our ETL pipelines
- Work with functional leads to understand their data requirements and design and deliver data pipelines to scale to billions of events
- Collaborate with operations to establish KPIs for different services and own the end-to-end delivery and lifecycle management
- Establish core data management principles and best practices
What we are looking for:
- MS/PhD in Computer Science or a related software field
- 7+ years of relevant experience building production software products
- We run on all major public clouds; experience with at least one is required (AWS, GCP, or Azure)
- Experience building data lakes and data-warehouses. BigQuery, Snowflake or Redshift experience preferred.
- Experience in either streaming or batch ETL pipelines required. Experience with Kafka and Spark preferred.
- Experience with microservices and containers.
- Experience in either Elasticsearch or Solr is helpful.
- Experience with cloud native Machine Learning service a big plus.
- Experience in NoSQL engines a plus.
- Strong analytical and problem-solving skills
- Hands on coding skills in Golang, Python or Java
- Knowledge in Storage, Filesystems or Data Protection domain is a plus
- Motivated to solve complex problems and challenges.
Data Privacy Notice for Job Candidates:
For information on personal data processing, please see our Privacy Policy.
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.
COVID-19
Cohesity requires all employees who enter its U.S. offices to be fully vaccinated against the COVID-19 virus and to provide documented proof thereof. Cohesity will comply with applicable law regarding the reasonable accommodation of individuals who are not vaccinated because of a sincerely held religious belief, disability or medical condition. This vaccination requirement does not apply to employees who work remotely and do not enter Cohesity offices.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure BigQuery Computer Science Data management Data pipelines Elasticsearch ETL GCP Golang Kafka KPIs Machine Learning Microservices NoSQL PhD Pipelines Python Redshift Snowflake Spark Streaming
Perks/benefits: Team events
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