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Data Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Pje. Centenario 130, C1405 Cdad. Autónoma de Buenos Aires, Argentina
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Description

Job Description: At Experis Argentina, we are looking for our next **Data Engineer** to join a leading private healthcare company. Employment Conditions: * Work Location: CABA (Autonomous City of Buenos Aires) * Working Hours: Full-time, Monday to Friday, 9–6 PM * Work Modality: 100% Remote * Contract Type: Indefinite-term contract * Salary: Negotiable + Prepaid healthcare coverage for you and your family + Additional vacation days + Connectivity allowance + Flexible working hours and hybrid work arrangement + Udemy licenses for self-paced learning in any area of interest + Priority access to SMG products and/or services such as precautionary, home, auto, retirement, life, and savings insurance; SMG Cells + Free vaccination campaign + Gym membership coverage through the Wellhub network + Corporate discounts on cinemas, theaters, travel, restaurants, spas, and other categories. Technical Knowledge / Skills: * Proven experience with **Snowflake** and **ETL / ELT** processes * Advanced SQL (query optimization, execution plan analysis, performance tuning) * Experience with **DataStage** for data integration and transformation * Python development for data processing and automation * Dimensional modeling (facts and dimensions – star schemas) * Development of **DAGs in Airflow** * Proficiency with code repositories (**GitHub / GitLab**) * Artificial Intelligence: Basic/intermediate knowledge of using AI for **process automation and optimization**; familiarity with KPIs and current **AI tools** Responsibilities: * Design, develop, and maintain **ETL / ELT** processes. * Test and maintain data infrastructures **on-premises and in the cloud (AWS).** * Integrate and transform data from multiple internal and external sources. * Build **robust, scalable, and optimized data models in Snowflake.** * Develop **data pipelines and DAGs in Airflow.** * Apply best practices in **Data Warehousing, DataOps, and Data Governance.** * Ensure **data quality, reliability, and availability.** * Document data flows and architectures to ensure **traceability and shared knowledge.** By applying or proceeding in this process, you consent to the processing of your personal data in accordance with our Privacy Policy, in compliance with Law No. 25,326. ManpowerGroup Argentina will process your information exclusively for evaluation and contact purposes related to employment opportunities. You may exercise your rights of access, rectification, or deletion at any time. If you are interested in participating in the selection process, please apply without hesitation—we look forward to hearing from you!

Source:  indeed View original post
Sofía González
Indeed · HR

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