Job Summary: We are seeking a Senior Data Engineering Specialist to design and deploy large-scale data processes, build resilient pipelines, and optimize architectures. Key Highlights: 1. Design and deploy large-scale data ingestion and processing processes 2. Build and optimize resilient data pipelines 3. Participate in the design of data products with architects and strategists **Company Description:** We are Entel, a leading telecommunications and technology company in Latin America, with over 60 years of experience in the industry. We operate in Chile and Peru, focusing 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 entering Peru in 2013, we have driven an innovative business proposition and a customer-centric approach as our core purpose. **Job Mission:** Are you motivated by collaboration, challenging the status quo, and growing with purpose? Discover the challenges awaiting you as a SENIOR DATA ENGINEERING SPECIALIST. **Job Responsibilities:** * Design and deploy large-scale data ingestion, integration, and processing processes (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 the design of data products alongside Data Architects and Data Strategists, ensuring technical feasibility. * Introduce and promote engineering best practices (DEVOPS/DEVSECOPS, CI/CD, automation). * Coordinate with business and analytics teams to ensure solutions meet real-world 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 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