CI&T - [Job-29268] Senior Data & Analytics Engineer, Colombia
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Requirements
• 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
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: • 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.
Benefits
• Premium Healthcare • Maternity and Parental leaves • Mobile services subsidy • Sick pay-Life insurance • CI&T University • Colombian Holidays • Paid Vacations • And many others. • Collaboration is our superpower, diversity unites us, and excellence is our standard. • We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
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