**Company Description:** We are Entel, a leading telecommunications and technology company in Latin America, with more than 60 years of experience in the industry. We operate in Chile and Peru, where we focus on delivering solutions that connect people, businesses, and organizations through mobile and fixed network services, including data, IT integration, internet, local and long-distance telephony, among others. Since our arrival in Peru in 2013, we have driven an innovative business proposition and a customer-centric approach as our core purpose. **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 application of data governance, quality, and integrity practices in implemented developments. * Participate in the design of data products together with Data Architects and Data Strategists, guaranteeing their 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:** Bachelor's degree in Computer Engineering, Electronics, Mathematics, Statistics, or related fields Desirable specialization or certification in data engineering or cloud platforms Minimum of 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, Databricks) Experience in real-time data integration and processing (Kafka, Flink, Kinesis, Pub/Sub) **Offer Conditions:****Benefits:** * Training and courses * Beverages and snacks * Additional parental leave * Flexible working hours * Additional parental leave