Sr. Data Engineer

Posted 10 Hours Ago
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Hiring Remotely in Pune, Maharashtra
Remote
Hybrid
Senior level
Fintech • Information Technology • Logistics • Payments • Analytics • Business Intelligence • Generative AI
Help Shape What's Next
The Role
As a Sr. Data Engineer at Coupa, you'll design and build scalable data processing pipelines, manage data extraction and storage from various sources, implement CI/CD processes, ensure data quality and consistency, and optimize operations. You'll collaborate with analytics teams to enhance data models while maintain documentation for workflows.
Summary Generated by Built In

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.


Why join Coupa?


🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.

🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.

🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. 


Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. 


The impact of Sr. Data Engineer to Coupa:


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What you'll do:

  • Collaborate with Data Architecture and Analytics teams to serve Coupa business units with the highest quality, best-in-breed solutions for BI and Data Analytics.
  • Design and build data processing pipelines for large volumes of data that are performant and scalable.
  • Build and maintain the infrastructure required for extraction, loading, transformation and storage of data from multiple data sources using custom scripted as well as SaaS technologies
  • Build processes supporting data transformation, data structures, metadata, dependencies and model management
  • Set up and manage CI/CD pipelines for DBT models and data workflows.
  • Develop and build schemas and objects to assist Data Analysts with the maintenance and development of BI-serving models
  • Ensure that data lake, warehouses, scheduled jobs, query and exploration tool and connections with visualization tools are meeting business requirements while remaining cost-effective
  • Ensure data quality and consistency by implementing checks, validations, and monitoring processes
  • Perform periodic health checks and audits on all data stores, ETLs, ELTs and data consumption connections
  • Continually optimize operations and maximize data security and reliability
  • Maintain documentation for pipelines, models, and workflows to support team operations and troubleshooting

What you bring to Coupa:

  • 6+ years of technical hands-on experience with development and management of databases, data warehouses and data lakes such as Snowflake, Postgres RDS, AWS etc.
  • Strong experience with data engineering, data pipelines and transformation (Spark, Lambda, DBT, Dimensional modeling, Change data capture)
  • Coding proficiency in Python, Java, Ruby etc. Experience working with APIs, utilizing SDKs and other tools
  • Advanced knowledge of SQL and database concepts
  • Experience with Workato, Fivetran or other data integration tools (Mulesoft, Informatica) tools preferred
  • Experience with BI/Reporting tools such as Tableau, Sigma, Einstein preferred
  • Strong interpersonal skills and the ability to communicate complex technology solutions to leadership, gain alignment, and drive progress

At Coupa, we celebrate diversity and recognize its value to our customers and employees. Coupa is proud to be an equal-opportunity workplace and affirmative-action employer. All qualified applicants will receive consideration for employment regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. 


Please be advised that inquiries or resumes from recruiters will not be accepted.


By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.

Top Skills

Java
Python
Ruby
SQL

What the Team is Saying

Alex Moon
Jessica Fonseca
Aditya Maheshwari
The Company
HQ: Foster City, CA
2,500 Employees
Hybrid Workplace
Year Founded: 2006

What We Do

Coupa makes margins multiply through its community-generated AI and industry leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Coupa is the margin multiplier company.

Why Work With Us

At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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