Data Platform Engineer

Role: Data & Platform Engineering ( Azure, Python)Duration: 2 MonthsWork Timings: French TimingsYears of Experience: 5+ yearsStart Date: January 2026Role DescriptionDesign and develop scalable data and analytics solutions using Microsoft Fabric and Azure servicesBuild and maintain data pipelines using Python, Fabric Data Engineering, Lakehouse,Notebooks, and PipelinesIntegrate analytical and ML outputs into downstream analytics platforms and dashboardsImplement data transformations, validation checks, and performance optimisationsPredictive Modeling & AnalyticsDesign, build, and iterate on predictive and analytical models using PythonDevelop models and scoring logic that support real-world decision-making, with an emphasison interpretability and stabilityProduce explainable outputs, including scores, categories, and key drivers influencing model resultsPerform diagnostics and validation to understand model behaviour across different data segment.Decision Support & Scenario AnalysisTranslate business rules, constraints, and policies into quantitative logic that can be applied consistentlyBuild what-if and scenario analyses to evaluate trade-offs and outcomes under changingassumptionsClearly communicate model behaviour, limitations, and trade-offs to non-technical stakeholdersWork closely with business stakeholders to understand decision processes and analytical needsCollaborate with platform and architecture teams to productionize solutions responsiblyContribute to technical design discussions and ensure adherence to security, governance, andcompliance standardsTroubleshoot production issues and continuously improve solution reliability and clarityQualificationsSolid experience with Microsoft Azure, including services such as Azure Data Factory /Synapse / Azure Functions, Azure Data Lake Storage (ADLS), Azure SQL (Cosmos DB is a plus)Hands-on experience with Microsoft Fabric, including Data Engineering, Lakehouses,Notebooks, and PipelinesUnderstanding of data modeling, ETL/ELT patterns, and analytics workloadsStrong proficiency in Python, including data processing, feature engineering, and ML workflowsExperience building predictive or analytical models using libraries such as scikit-learn, pandas, NumPyExperience with Git, CI/CD pipelines, and DevOps practicesAbility to explain analytical concepts and results clearly to non-technical stakeholdersGood to HaveExperience with model interpretability or explainability techniquesExposure to scenario analysis, simulation, or decision-support systemsExperience with Azure Machine Learning or ML deploymentKnowledge of Power BI and semantic models in FabricCompany DescriptionZyphex Tech is a leading IT services and consulting company specializing in advanced AI applications, web and mobile development, and digital transformation. By leveraging cutting-edge technologies like machine learning, Python, and DevOps engineering, we deliver secure, scalable, and innovative software solutions tailored to client needs. Our expertise includes ecommerce solutions, information security, data analytics, and solution architecture. With a passion for empowering startups, SMEs, and enterprises across industries, Zyphex Tech helps businesses achieve operational excellence and competitive advantage.

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