The Sr. Software Engineer, Data is responsible for designing and maintaining data infrastructure, creating data pipelines, ensuring data quality, and collaborating across teams to support data needs.
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 a Sr. Software Engineer, Data to Coupa:
The Sr. Software Engineer, Data plays a critical role in designing, building, and maintaining scalable data infrastructure at Coupa. Collaborating with Data Scientists, Product Managers, and Engineers, they develop pipelines, ensure data quality, and transform raw data into actionable insights. This role is responsible for implementing robust architectures to support large, complex datasets, including data warehouses and lakes. Ideal candidates bring strong experience in data engineering, data modeling, ETL development, and proficiency in Python or Java, along with expertise in cloud platforms like AWS, Azure, or GCP. Their work ensures our platform is powered by reliable, high-quality data—driving innovation, informed decision-making, and Coupa’s continued leadership in cloud-based spend management.
What You'll Do:
- Create and maintain optimal data pipeline architecture
- Optimize Spark clusters for efficiency and performance by implementing robust monitoring systems to identify bottlenecks using data and metrics. Provide actionable recommendations for continuous improvement
- 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 national boundaries through multiple data centers and AWS regions
- 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
What You Will Bring to Coupa:
- Strong programming skills in Python.
- Strong working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with processing workloads and code on Spark clusters.
- Experience with Data Warehouse solutions to support analytical and reporting needs.
- 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.
- Knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Experience supporting and working with cross-functional teams.
- We are looking for a candidate with 4+ years of experience in a Software Engineer – Data 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 object-oriented/object function scripting languages: Python, Java, C++, .net, etc. Expertise in Python is a must.
- Experience with big data tools: Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
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Top Skills
Airflow
AWS
Azkaban
Azure
Cassandra
Ec2
Emr
GCP
GraphQL
Java
Kafka
Luigi
Postgres
Python
Rds
Redshift
Rest
Spark
SQL
Coupa Software Shivaji Nagar, Maharashtra, IND Office
1st fllor b ICC Tech Park no 403A, Shivaji Nagar, India, 411016
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