Job Summary: HITSS is seeking a DataOps Engineer for advanced analytics projects in cloud environments, passionate about automating, scaling, and optimizing data pipelines. Key Highlights: 1. Integration into advanced analytics projects 2. Automate, scale, and optimize data pipelines 3. Focus on quality, automation, and scalability Are you passionate about automating, scaling, and optimizing data pipelines? At HITSS, a leading technology innovation company, we are looking for a DataOps Engineer to join advanced analytics projects in cloud environments. Position: DataOps Engineer Work Mode: Hybrid | Plaza Carso, CDMX Required Experience: Required Profile Implementation of DataOps pipelines. Proven experience with: * Apache Airflow * dbt * Docker and Kubernetes * Apache Spark * SQL * Messaging/event systems (Kafka, Pub/Sub, Kinesis) * Cloud platforms (GCP) * Advanced Python Key Skills ✔ Self-taught profile with a focus on continuous improvement. ✔ Collaborative work and effective communication. ✔ Focus on quality, automation, and scalability. Employment Type: Full-time, Indefinite Term Salary: $60,000.00 - $70,000.00 per month Work Location: Hybrid remote work in Miguel Hidalgo, CDMX