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Senior 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, with operations 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, enterprise, 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! Discover our Senior Data Engineer Specialist vacancy **Job Responsibilities:** * Design and deploy large-scale data ingestion, integration, and processing workflows (batch and streaming). * Build and optimize resilient data pipelines, maintaining high levels of quality, traceability, and security. * Identify and resolve performance, scalability, and cost issues in cloud/hybrid data architectures. * Ensure proper implementation of data governance, quality, and integrity practices in developed solutions. * Participate in data product design together with Data Architects and Data Strategists, guaranteeing technical feasibility. * Introduce and promote engineering best practices (DEVOPS/DEVSECOPS, CI/CD, automation). * Coordinate with business and analytics teams to ensure solutions meet real information consumption needs. **Requirements:** Degree in Computer Engineering, Electronics, Mathematics, Statistics, or related fields At least 4 years of experience in data engineering, information integration, or Big Data/Analytics projects Proficiency in programming languages (SQL, Python, Scala) Practical experience with Spark and Big Data frameworks Experience with cloud platforms (AWS, Azure, GCP) and data services (Glue, Dataflow, etc.) Solid knowledge of modern data architectures (Data Lake, Lakehouse, Data Mesh). Experience in real-time data integration and processing (Kafka, Flink, Kinesis, Pub/Sub). **Offer Conditions:****Benefits:** * Remote work * Health 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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