**Responsibilities of the professional:** Apply statistical techniques for variable selection, sampling, and experimental design. Apply segmentation techniques, statistical and computational modeling (e.g., AI and Machine Learning). Apply data mining techniques, data structures, and data science–based solutions. Perform data modeling, generate statistics, and identify trends, including exploratory, descriptive, diagnostic, predictive, and prescriptive analyses. Data visualization and analysis in Python (pandas, numpy, statsmodels, matplotlib, seaborn). Work with Big Data environments and tools (Hadoop and PySpark), programming languages and tools (Python, R, Scala, and SQL), and master data management platforms and tools. **Required Experience, Skills, and Knowledge:** Responsibilities: * Design, build, and maintain scalable and robust data pipelines meeting analytical requirements * Implement and manage large-scale data storage solutions on GCP * Optimize database performance and ensure data quality, integrity, and security through best practices and automation * Collaborate with data science, BI, and infrastructure teams to develop efficient solutions that transform raw data into strategic insights Skills: * Proven experience developing and maintaining data lakes and data warehouses. Preferred: Google Cloud Storage/BigQuery * Proficiency in Python and SQL * Advanced knowledge of ETL/ELT tools and experience with data pipeline orchestration. Preferred: dbt * Experience in cloud-based data architecture (GCP, AWS, Azure). **Education:** Postgraduate degree or MBA Mandatory qualification: Bachelor’s degree in Information Technology (or a related field aligned with the role’s scope of work). OR Bachelor’s degree in any field, combined with a completed postgraduate program (specialization, master’s, or doctoral degree) in Information Technology (or a related field aligned with the role’s scope of work), comprising a minimum of 360 classroom hours. Mandatory certification: Postgraduate degree or MBA in the relevant field and/or Software Engineering processes, with a minimum duration of 360 classroom hours. OR At least three (3) professional certifications in the candidate’s field of expertise and/or agile methodologies, issued by a recognized certifying body. **Professional Experience:** Mandatory experience Minimum of six (6) years of professional experience in the relevant technical specialty area OR Minimum of four (4) years of cumulative professional experience, plus at least two (2) professional certifications in the candidate’s field of expertise and/or agile methodologies, issued by a recognized certifying body. **Knowledge and Skills:** SQL, Python, AI, data lake, warehouse **Knowledge and Skills:** Not disclosed **Benefits:** Meal allowance, food allowance, dental plan, health insurance, TotalPass, subsidy **Weekly working hours:** 40 hours **Employment type:** CLT ### **Employment type:** CLT ### **Benefits:** Meal allowance, food allowance, dental plan, health insurance, TotalPass, subsidy ### **Department:** Government