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Data Engineer Trainee/Intern
Indeed
Full-time
Onsite
No experience limit
No degree limit
PA239-Parada / Museo Militar, Santiago, Región Metropolitana, Chile
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Description

🚀 Why work at Xepelin? Xepelin is transforming corporate finance in Latin America with a *suite* of products that automate financial management and facilitate access to liquidity. With the goal of becoming the digital CFO for every business, it has developed financial technology that impacts the entire corporate ecosystem. Thanks to the *data* gathered from the interaction of over 1M companies within its *network*, Xepelin has built a business intelligence system that provides visibility into financial indicators and risk assessments of the network it collaborates with, helping decision-making become faster and more secure. Our principles: How do we operate? 🎯 We put our customers at the center ✨ We believe and inspire 🧑‍💼 We act as owners 🏅 We lead by example 🏆 We challenge ourselves to win 🧠 We take intelligent risks 🤖 We harness the power of technology What are we looking for? At Xepelin, we’re seeking creative and visionary individuals who think outside the box to join our team. If you’re passionate about solving high-impact, interesting challenges and want to be part of a dynamic environment transforming the financial industry, this opportunity is for you! If you’re motivated by the challenge of building innovative solutions in a fast-changing environment, we’d love to meet you. Join us—let’s grow together! At Xepelin, we’re committed to the Inclusion Law (Law No. 21.015), so we invite you to let us know if you require any accommodations to fully participate in our selection processes. ### **Key Responsibilities** * Support the development, testing, and maintenance of data *pipelines* (ETL/ELT) to ensure data availability and quality. * Collaborate on optimizing SQL queries to improve data ingestion and processing performance. * Document *data warehousing* processes and data flows under the supervision of the *Engineering* team. * Participate in monitoring and resolving basic incidents related to data quality or data flow. * Learn and apply Data Engineering best practices in an agile production environment. ### **What do you need to shine?** * Currently enrolled in the final year of Civil Engineering or Computer Engineering. * Valid student insurance. * Intermediate proficiency in SQL. * Intermediate proficiency in Python. * Understanding of relational and non-relational database principles. * Demonstrated interest in the fintech industry and the impact of data on business decision-making. * Familiarity with cloud-based best practices and optimization (GCP, AWS, etc.) is desirable. * Experience in academic or personal projects related to data processing or ETL is desirable. #LI-MS1**Our Benefits** Stipend for internship purposes. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Source:  indeed View original post
Sofía Muñoz
Indeed · HR

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