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Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. We are looking for an exceptional Data Engineer Intern to join our growing team.
Job Responsibility:
Design and implement data pipelines that load data from multiple sources into our data warehouse, building efficient data models that drive analysis and key business metrics
Optimize analytical workflows using dbt Cloud, leveraging macros and packages to enhance productivity, while contributing to our CI/CD processes and DevOps practices
Participate in AI initiatives by contributing to the development of Data Genie in Workato
Implement and maintain data pipelines to load data from multiple sources into a data warehouse
Building efficient data models to drive analysis and key metrics
Optimization of analytical workflows to improve productivity through the use of macros and packages in dbt Cloud
Continuously improve existing DevOps experience by strengthening our CI/CD processes
Contribute to AI initiatives by assisting with the development of Data Genie in Workato
Collaborate with internal business stakeholders to understand various data pain points and develop solutions to resolve those issues
Support operational needs of various business units
Requirements:
Currently pursuing a degree in Business Analytics, Information Systems, or other related field
Able to commit for at least 6 months
Good understanding of Database concepts such as ERD
Intermediate SQL skills (e.g. Join, CTE, and window functions etc)
Experience in using data warehouses such as Snowflake and data transformation tools such as dbt Cloud
Experience with using Extract-Load-Transform (ELT) applications or scripts
Fast mover and comfortable navigating a fast-paced environment
Excellent organizational skills and ability to juggle multiple projects simultaneously
Strong analytical skills, verbal and written communication skills are required to present actionable insights to business leaders
Thoughtful team player, a keen learner, and have a “can do” attitude with a growth mindset
Nice to have:
Experience in building and working with AI related solutions using LLMs is a plus