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Data Engineer Specialist
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
Av. Américo Vespucio 298, Las Condes, Región Metropolitana, Chile
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Description

**Company Description:** We are a leading technology and telecommunications company, operating in Chile and Peru. The company provides mobile phone services and fixed network operations (including data, IT integration, internet, local telephony, long distance, and related services) for individual, business, corporate, and wholesale segments. We exist to bring closer the endless possibilities offered by technology and thus responsibly transform society. **Job Mission:** We are looking for people who want to grow and take on new challenges! Check out our Data Engineer Specialist position. **Job Responsibilities:** * Develop and maintain data ingestion, transformation, and loading processes (ETL/ELT), ensuring quality and stability. * Build data pipelines to enable reporting, analytics, and corporate data products. * Implement Data DevSecOps practices (development, security, and operations) in data processes, supporting their release into production. * Participate in technical documentation of processes and data flows, ensuring traceability and maintainability. * Support the integration of various data sources, including operational systems, cloud, and on\-premise environments. * Collaborate with Data Architects and Data Strategists to ensure business requirements are translated into effective technical solutions. * Contribute to the application of data governance and information guidelines defined by the Data Architecture and Strategy Management unit. * Identify incidents, propose improvements, and ensure operational continuity of data processes. **Requirements:** Bachelor's degree in Computer Engineering, Electrical Engineering, Mathematics, Statistics, or related fields Desirable specialization or certification in data engineering or cloud platforms At least 1–2 years of experience in big data, data integration, or data analytics projects in cloud environments Experience with integration/Big Data frameworks and tools (Hadoop, Spark, Kafka, Flink, etc.) Experience with SQL and NoSQL databases Experience with agile methodologies and collaborative management tools (Jira, Confluence, Git) Knowledge of cloud platforms (AWS, Azure, GCP) and associated data services **Offer Conditions:****Benefits:** * Remote work * Medical insurance * Dental insurance * Training and courses * Educational subsidy * Product discounts * Performance bonus

Source:  indeed View original post
Sofía Muñoz
Indeed · HR

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