**Key Responsibilities**: - Design, build, and maintain scalable and efficient data pipelines for batch and real-time processing. - Develop and optimize data architectures in cloud environments (AWS, Azure, or GCP). - Work closely with data scientists, analysts, and software engineers to ensure data solutions meet business needs. - Implement data quality and validation checks to ensure data integrity and accuracy. Manage and monitor data workflows, troubleshoot issues, and ensure high availability. - Define and enforce data engineering best practices and coding standard. - Participate in architectural discussions and contribute to cloud and data strategy. - Ensure data security, governance, and compliance with organizational and regulatory standards. **Requirements**: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. +5 years of hands-on experience in data engineering or a similar role. Strong experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency in Python, SQL, and one or more data processing frameworks (e.g., Apache Spark, Kafka, Beam, Flink). Experience with cloud-native data tools such as AWS Glue, Redshift, BigQuery, Azure Data Factory, or similar. Solid understanding of data modeling, ETL processes, and data warehousing concepts. Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation). Strong problem-solving and communication skills. Familiarity with containerization (Docker, Kubernetes) is a plus. **Nice to Have**: - Experience with orchestration tools (e.g., Airflow, Prefect). - Knowledge of machine learning pipelines and MLOps. - Exposure to data governance and cataloging tools (e.g., Apache Atlas, Alation). **Import**ant**:**_This is a proactive opportunity to join our talent pool. _**_While there _**_currently_**_ isn't an open position_**_, by joining our network, you'll be first in line when a suitable opportunity arises, ensuring a swift and seamless hiring process._ **What’s in it for you?**: 100% Remote work - Join from anywhere in LATAM Career growth - Contribute to enterprise data initiatives with global impact Collaborative culture - Work with cross-functional, cloud-first teams High-impact projects with cutting-edge data and AI tech Certification support and career development programs Emphasis on work-life balance and wellness Permanent contract - We invest in long-term collaboration