Job Description
Role: Data Engineer - Pyspark & Power BI
Requirements and Offer Job
Education: Bachelor's Degree in Information Technologies or related engineering.
Languages: High level of proficiency in English (speaking, reading, writing)"
Level: B2, C1, C2, Fluent
Modality: Home Office 100 %
Location: MexicoWorkday: Monday - Friday
Gross Salary: Open & Negotiable
Hiring: 100 % PayrollBenefits: Social Insurance (IMSS), 12 Vacation Days per Year, 15 Days of Christmas Bonus, 25 % Vacation Bonus, Life Insurance.
Plus Benefits: Online Technical Trainings and Access to Academies and Certifications.Job Stability and Professional Development
Experience and Resposabilities
Experience building out an Enterprise Data Platform, driving enterprise data services across organization.Strong hands on .
Data Engineer/Architect, extensive skills across Data Engineering, PySpark, PowerBI, etc...
Strong expertise across Data Governance, classification.
Design/Approach level skills along with tactical "get it done" skills to build and get to "run" phases.
Expert on Azure environment as a Data Architect, driving integration, modeling, storage, analytics.
Experience building out an Enterprise Data Platform, driving enterprise data services across organization.
Strong expertise across Data Governance, classification, Design/Approach level skills along with tactical "get it done" skills to build and get to "run" phases
Drive strategically, and help build Data Catalogues, mapping/set up of Data and inbound/outbound data health.
Expert on Azure environment as a Data Architect, driving integration, modeling, storage, analytics.
End Goal - Data Analytics / self help driven by user.
Must represent strong TECH chops with Synapse Analytics, PowerBI and other analytical platforms for the inbound data to be presented back to biz/IT and other stakeholders
Experience with Microsoft Fabric (nice to have).
Experience in Life Sciences Domain - must be familiar with the data.
Professional Skills
Responsibility
Service Attitude
Focus on Results
Logical Mathematical Thinking
Communication
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