About the company
SupportNinja was founded in 2015 to help companies solve for scale and connect them with a wider world of talent. Our vision is to show the world a better way to grow by developing the best people, implementing the latest technology, and challenging the status quo.
Job Summary
What does a day in the life of a Data Engineer look like?
šAssist and guide Business Intelligence Developers in extracting data from the source system into the data warehouse staging area, ensuring data validation, data accuracy, data type conversion, and business rule application šSetup data pipelines using fivetran, dbt, gcp services; data transformation using SQL, python, and modeling the data šDevelop and support detailed multi-dimensional data models šProvide design, development, implementation and support of the clientās and/or organizationās data technology stack and architecture šPrepare documentation, as part of the knowledge transfer process, which will enable others to continue with the ongoing maintenance and operations of the various data platforms šCollaborate with other departments to gather related requirements for any development and deployment related to data and digitization of data šCommunicate complex concepts and findings in a clear and concise manner to technical and non-technical audiences šAct as a trusted advisor, providing guidance and support on data-driven decision-making šStay updated with emerging trends and technologies in business intelligence and analytics šAdheres to company policies and procedures Meets or exceeds performance targets for related KPIās šContinuously improves knowledge of products, services, and processes by participating in training programs and continuous learning modules šMaintains a positive, empathetic, and professional attitude toward customers and colleagues at all times šPerforms other duties as assigned
What are the required qualifications of a Data Engineer?
šPrevious experience in a data engineer, ETL developer, business intelligence analyst, or a similar role, preferably in the call center environment šFamiliar with scripting languages such as Python, Scala, Node.js šExperience with integrating data quality tools Proficiency in data warehouses šProficient with SQL and database management šProficiency in visualization tools such as Looker, Looker Studio, Tableau, Power BI, or ĒŖlikView šStrong communication skills, both verbal and written šStrong analytical and problem-solving skills, with the ability to analyze complex datasets and extract meaningful insights