[Job-29268] Data & Analytics Engineer, Colombia at Ciandt in Colombia

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are looking for a Data & Analytics Engineer supporting an AI/ML implementation for demand forecasting and resource optimization in the public transportation / fare collection industry. Works alongside an AWS ProServe ML Specialist on EDA, feature engineering, capacity modeling, and operational dashboards. Responsibilities: Exploratory Data Analysis (EDA): Conduct EDA and statistical profiling to identify trends and insights from data. Perform feature engineering specifically for time-series forecasting. Data Wrangling and Preparation: Extract and transform data from relational databases (RDS, Oracle, PostgreSQL) into analytics-ready formats. Develop pipelines for data ingestion and processing. Machine Learning Modeling: Build classical ML models for time-series forecasting, regression, and capacity/throughput modeling. Evaluate model performance using metrics such as RMSE, MAE, and MAPE, documenting performance results. Data Visualization: Create insightful data visualizations and dashboards using Amazon QuickSight or equivalent BI tools. Python Data Stack: Utilize the Python data stack (pandas, NumPy, scikit-learn, matplotlib/seaborn) for data manipulation and analysis. Model Explainability: Apply SHAP or other model explainability techniques to interpret model outputs. Collaboration and Communication: Work closely with stakeholders to translate business rules into effective feature engineering pipelines. Engage in milestone-driven, Firm Fixed Price delivery models, ensuring timely project completion. Requirements for this challenge: 4+ years in data engineering or applied data science roles, preferably with experience on AWS. Proficient in exploratory data analysis (EDA), statistical profiling, and feature engineering for time-series forecasting. Experience in data wrangling from relational databases (RDS, Oracle, PostgreSQL) into analytics-ready formats. Strong understanding of classical ML modeling techniques, including time-series forecasting and regression. Familiarity with model evaluation metrics (RMSE, MAE, MAPE) and performance documentation. Experience in data visualization and dashboard development using Amazon QuickSight or equivalent BI tools. Hands-on experience with Amazon SageMaker (training, evaluation, Clarify). Proficient in the Python data stack, including pandas, NumPy, scikit-learn, matplotlib, and seaborn. Working knowledge of SQL and dimensional modeling. Familiarity with SHAP or model explainability techniques is a plus. Expected Certifications AWS Certified Cloud Practitioner AWS Certified Data Engineer – Associate AWS Certified Machine Learning – Associate or AWS Certified Machine Learning – Specialty #LI-LO1 We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. As a Senior/Lead AWS Cloud Infrastructure Engineer, you will play a pivotal role in designing and implementing cutting-edge cloud solutions. Your expertise will guide the migration and modernization strategies that empower our clients to leverage the full potential of AWS. Collaborating with diverse teams, you will ensure that our cloud architectures are robust, efficient, and aligned with client objectives. Key Responsibilities: Create and articulate a compelling value proposition for AWS migration, clearly demonstrating its transformational benefits to client executives. Define and execute technical migration and modernization strategies in collaboration with highly technical teams. Deliver modern architectures, including microservices and event-driven architectures, using managed services and cloud-native capabilities. Engage with clients’ development, infrastructure, security, and IT operations teams to identify repeatable patterns and architectures for cloud migration. Identify platform improvement opportunities and influence future iterations of the AWS platform and the Migration Acceleration Program. Required Skills and Qualifications: Must-have Skills: Advanced English proficiency. Experience in application or infrastructure design, implementation, or consulting. Experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data, and analytics. Proven experience in a Solutions Architect, Enterprise Architect, or Lead Architect role, leading the discovery, design, and build of custom and commercial applications. Experience in Terraform & AWS CloudFormation for migration Experience with AI tools (Kiro, Kiro Cli or others) Proficiency in architecting, designing, and migrating workloads to the public cloud. Familiarity with a range of migration discovery, profiling, migration automation, and operations tools and technologies. Nice-to-have Skills: Experience with multi-tier distributed architecture within IT consulting, IT operations, application development, or support. Understanding of large IT budgets, complex vendor relationships, and the ability to work across diverse teams to build the case for cloud migration. Strong knowledge of multiple migration strategies, such as rehosting, refactoring, re-architecting, replatforming, and repurchasing. At CI&T, we believe in the power of Collaboration, Innovation & Transformation. Join us in shaping the future of technology, driven by Artificial Intelligence, as we work together to create impactful solutions. Your journey toward making a difference starts here! #LI-LO1