Senior Data and Analytics Engineer at Pure Storage

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Financial Systems, AI/ML Analytics, SQL, Data Modeling, SAP, Data Orchestration, Tableau, Python, PySpark, R, Predictive Modeling, Time-Series Forecasting, Generative AI, Data Quality, Data Governance

Industry

IT Services and IT Consulting

Description

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics. WHAT YOU'LL DO Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets. Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.) Be a data architect for Finance , bring different data into cohesive and answer critical questions Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders. Scale data infrastructure to support large volumes and complex financial models. Translate complex financial concepts and KPIs into scalable, maintainable data models. Implement strong controls for data quality, lineage, and governance. Maintain clear documentation of data transformations, metric definitions, and AI model logic. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING Experience: 8–12 years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage) Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage Experience with data orchestration tools (Airflow, dbt) and tableau platform Hands-on experience with Python, PySpark, or R for automation and model integration. Proven ability to translate financial logic into scalable data models. Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics. Ability to evaluate and apply AI responsibly in financial contexts. #LI-ONSITE WHAT YOU CAN EXPECT FROM US: Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team: We build each other up and set aside ego for the greater good. 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. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. 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. JOIN US AND BRING YOUR BEST. BRING YOUR BOLD. BRING YOUR FLASH.

Responsibilities

Design and develop the Finance Data Cube to enable enterprise-wide insights into key financial metrics. Scale data infrastructure and implement strong controls for data quality and governance.