Role: Data Engineer - Pyspark

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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: Mexico

Workday: Monday - Friday

Gross Salary: Until $65,000 MXN

Hiring: 100 % Payroll

Benefits: 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

Data Engineer (Pyspark / Power BI)

• 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