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Data Engineer - Enterprise Data Team

Location
Mountain View, CA, United States

Posted on
Mar 02, 2022

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Data Engineer - Enterprise Data Team
at **MEMBERS ONLY**SIGN UP NOW***.
Mountain View, CA
BE PART OF BUILDING THE FUTURE.
What do NASA and emerging space companies have in common with COVID vaccine R&D teams or with Roblox and the Metaverse?
The answer is data, -- all fast moving, fast growing industries rely on data for a competitive edge in their industries. And the most advanced companies are realizing the full data advantage by partnering with **MEMBERS ONLY**SIGN UP NOW***.. Pure’s vision is to redefine the storage experience and empower innovators by simplifying how people consume and interact with data.
With 9,000 customers including 50% of the Fortune 500, we’ve only scratched the surface of our ambitions
Pure is blazing trails and setting records:
For eight straight years, Gartner has named Pure
a leader in the Magic Quadrant
Our customer-first culture and unwavering commitment to innovation have earned us a certified
Net Promoter Score in the top 1% of B2B companies globally
Industry analysts and press
applaud Pure’s leadership
across these dimensions
And, our 4,000 employees are emboldened to make Pure a faster, stronger, smarter company as we go
If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.
SHOULD YOU ACCEPT THIS CHALLENGE...
We are looking for a savvy Data Engineer to join our growing team of Data and analytics. The individual will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data expert who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across boundaries through multiple data centers and personas
Work with data and analytics experts to strive for greater functionality in our data systems.
WHAT YOU’LL NEED TO BRING TO THIS ROLE...
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable data stores.
Strong team player and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 7 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
Experience with big data tools: Snowflake, MSSQL, Hana, etc.
Experience with AWS cloud services like Redshift
Experience with ETL tools : Sanplogic, informatica, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C , Scala, etc.
This position will start remote, with the expectation to frequently work onsite at our Mountain View, CA offices once employees return to the office.
#LI-DF1
BE YOU—CORPORATE CLONES NEED NOT APPLY.
Pure is where you ask big questions, think differently, and make an impact. This is not just a job, but a place where you have a voice and can accelerate your career. We value unique thoughts and celebrate individuality, and with ample opportunity to learn, develop yourself, and expand into different roles, joining Pure is an investment in your career journey.
Through our Pure Equality program, which supports a flourishing field of employee resource groups, we nourish the personal and professional lives of our team members. And our Pure Good Foundation gives back to local and global communities through volunteering and grants.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.
PURE IS COMMITTED TO EQUALITY.
Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.
Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
If you need assistance or an accommodation due to a disability, you may contact us at
****
APPLICANT & CANDIDATE PERSONAL INFORMATION PRIVACY NOTICE.
If you're wondering how or why Pure collects or uses information you provide, we invite you to check out our
Applicant & Candidate Personal Information Protection Notice
DEEMED EXPORT LICENSE NOTICE.
Some positions may require a deemed export license for compliance with applicable laws and regulations. Please note: Pure does not currently sponsor deemed export license applications so we are unable to proceed with applicants requiring stated sponsorship.
PURE’S COMPLIANCE WITH THE U.S. GOVERNMENT COVID-19 MANDATE
In accordance with Pure’s policies, current and anticipated federal regulations, and our ongoing commitment to prioritizing the health and well-being of our employees, partners, and customers, and the community at large, where permitted by law, all Pure employees and contractors working in the United States are expected to be fully vaccinated against COVID-19 prior to your start date.
Should you require an exemption for medical or religious reasons, you must initiate Pure’s exemption request process which will determine if an exemption can be granted in accordance with applicable local, state, and/or federal law.

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