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Data Engineer (SQL)
3 months ago | 280 views | 2 applications

Data Engineer (SQL)


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?

📍Assist 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 📍Setup data pipelines using fivetran, dbt, gcp services; data transformation using SQL, python, and modeling the data 📍Develop and support detailed multi-dimensional data models 📍Provide design, development, implementation and support of the client’s and/or organization’s data technology stack and architecture 📍Prepare 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 📍Collaborate with other departments to gather related requirements for any development and deployment related to data and digitization of data 📍Communicate complex concepts and findings in a clear and concise manner to technical and non-technical audiences 📍Act as a trusted advisor, providing guidance and support on data-driven decision-making 📍Stay updated with emerging trends and technologies in business intelligence and analytics 📍Adheres to company policies and procedures Meets or exceeds performance targets for related KPI’s 📍Continuously improves knowledge of products, services, and processes by participating in training programs and continuous learning modules 📍Maintains a positive, empathetic, and professional attitude toward customers and colleagues at all times 📍Performs other duties as assigned

What are the required qualifications of a Data Engineer?

📍Previous experience in a data engineer, ETL developer, business intelligence analyst, or a similar role, preferably in the call center environment 📍Familiar with scripting languages such as Python, Scala, Node.js 📍Experience with integrating data quality tools Proficiency in data warehouses 📍Proficient with SQL and database management 📍Proficiency in visualization tools such as Looker, Looker Studio, Tableau, Power BI, or ǪlikView 📍Strong communication skills, both verbal and written 📍Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract meaningful insights

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