Senior Data Engineer

India

Pure Storage

Discover a better way to interact with your data through storage that's always modern, easy to manage, and provides a flexible way to consume.

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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 Pure Storage. 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...

You will be responsible for design, development and expansion of data assets that support business intelligence, advanced analytics, and reporting. You will also develop, maintain, and support the enterprise data warehouse system, corresponding data marts, and data interfaces for use in reporting, analytics, and various applications. Deep experience building data management Data savviness and a keen understanding of data management life cycle is critical for this role. Crisp communication and the ability to influence decisions is also important. Program Management capabilities will be needed to successfully deliver in this role.

Responsibilities

  • 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 into Snowflake
  • Build and maintain the data transformation layer for consumption by stakeholders
  • Keep our data secure while building data products to derive business insights from the data
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Communication with internal team members and stakeholders in other time zones for the purpose of requirements clarification and progress reporting

 Requirements:

  • Advanced 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 unstructured 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 ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 10+ 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, Spark, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • Experience with AWS cloud services: Aurora, Redshift
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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 TA-Ops@purestorage.com.

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 no later than January 18, 2022. 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.

Tags: Airflow AWS Azkaban Big Data Business Intelligence Cassandra Computer Science Data management Data pipelines NoSQL Pipelines PostgreSQL Python R R&D RDBMS Redshift Research Scala Snowflake Spark SQL Statistics Streaming

Perks/benefits: Career development Flex hours Flex vacation Team events

Region: Asia/Pacific
Country: India
Job stats:  0  0  0
Category: Engineering Jobs

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