Our Team: Enterprise Business Solutions

Vista’s Enterprise Business Solutions (EBS) domain is working to make our company one of the most data-driven organizations to support Finance, Supply Chain, and HR functions. The cross-functional Data Lake Analytics team focuses on providing Vista with cutting-edge tools and access to SAP data insights we can use to make fast decisions and deliver customer value. EBS team members are empowered to learn new skills, communicate openly, and be active problem-solvers who bring proactivity, creativity, and curiosity to our daily engineering challenges.

Join our EBS Domain as a Data Engineer This role will be responsible for building, operating, and supporting robust data pipelines and data warehousing solutions. The Data Engineer will implement industry best practices, data standards, and optimized ETL/ELT workflows under the guidance of experienced colleagues. This role has a lot of opportunities to impact general data pipeline development and the implementation of new solutions. You will work on modernizing data technology solutions in EBS,



including cloud warehousing, finance, and supply chain datasets. This role will require a solid understanding of cloud data integration tools and cloud data warehousing, with a solid ability to execute technical initiatives to tangible results.

What You Will Do

As a Data Engineer, you will be instrumental in executing our data strategy, ensuring data quality, and contributing to the technical execution of our data products. Your responsibilities will include:

Pipeline Development & Technical Execution

Design, build, and implement scalable, robust, and high-quality ETL/ELT processes to support growing business demand for information, delivering data as a reliable service.
Adhere to and enforce best practices for data quality, testing, data governance, and architecture within your daily deliverables.
Actively participate in the team’s use of Agile methodologies, ensuring smooth, predicta

📌 Data Engineer (India)
🏢 Cimpress India
📍 India