Job Summary: Full-stack data professional responsible for designing, developing, implementing, and maintaining comprehensive data solutions to support strategic and operational decision-making. Key Highlights: 1. Design and implement comprehensive, scalable data solutions. 2. Collaborate with multidisciplinary teams on digital transformation initiatives. 3. Drive digital transformation with governed data solutions. ### **Job Objective** Full-stack data professional responsible for designing, developing, implementing, and maintaining comprehensive data solutions that support operational and strategic decision-making. Ensures data quality, availability, and governance; integrates heterogeneous data sources (on-premise and cloud); develops ETL/ELT pipelines, analytical models; and deploys data and machine learning services into production, complying with applicable security and regulatory standards. ### **Key Responsibilities** * Design and build data ingestion, transformation, and distribution pipelines (ETL/ELT) using batch and streaming architectures. * Implement and maintain data platforms in cloud and hybrid environments (storage, data lake, data warehouse, catalogs, and lakehouse). * Develop backend solutions for data APIs and microservices exposing datasets and models to internal and external consumers. * Design, train, validate, and deploy machine learning models, ensuring monitoring, retraining, and explainability. * Optimize queries, dimensional models, and data structures for performance, cost, and scalability. * Ensure data quality, integrity, and lineage through testing, validation, and data observability tools. * Define and implement security policies, access controls, and regulatory compliance (data privacy, encryption, retention). * Collaborate with multidisciplinary teams (production, operations, IT, BI, analytics, product) to understand requirements and deliver operational solutions. * Automate deployments and infrastructure using IaC (Infrastructure as Code) and CI/CD pipelines for data and models. * Document architectures, processes, APIs, data contracts, and operational manuals; participate in technical reviews and audits. * Train and support users and teams on data platform usage, best practices, and governance; promote a data-driven culture across the organization. ### **Required Profile** * **Education:** Bachelor’s degree in Computer Engineering, Systems Engineering, Telecommunications, Mathematics, Statistics, Data Science, or related field. * **Experience:** + Minimum **8 years** of professional experience in data engineering, data science, or full-stack data roles within production environments. + Proven experience implementing solutions on cloud platforms (AWS, Azure, or GCP) and applying MLOps/DevOps practices. * **Key Technical Skills:** + Programming languages: Python, SQL; knowledge of Java/Scala or Go is a plus. + Tools and frameworks: Spark, Kafka, Airflow, dbt, Terraform, Kubernetes, Docker. + Cloud platforms: BigQuery, Redshift, Synapse, S3/Blob Storage, Dataflow/Dataproc or equivalents. + Data modeling: Data Warehouse, Data Lake, dimensional schemas, and lakehouse. + Machine Learning: scikit-learn, TensorFlow/PyTorch, model evaluation, deployment, and monitoring. + Engineering best practices: automated testing, CI/CD, IaC, observability, and logging. + Data security and governance: IAM, encryption, retention policies, cataloging, and lineage. * **Competencies:** + Ability to solve complex problems and make decisions under pressure. + Effective communication and collaborative work with technical and business teams. + Results-oriented, organized, and detail-focused. + Proactive in continuous improvement and adoption of new technologies. ### **Job Conditions** * On-site position according to project requirements. * Willingness to participate in on-call duties or off-hours shifts in case of critical production incidents. Join an organization committed to technical excellence and information security. If you have solid experience in data engineering and operations and are interested in driving digital transformation through scalable, governed solutions, we invite you to apply.