Data Engineer

About Atos Group

Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. € 10 billion, operating in 67 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Data Engineer

Location: Mexico and Monterrey (Hybrid position)

Responsibilities: 10+ years of total experience & 6+ years of experience in Azure Data Services, Data Architecture, and Cloud Infrastructure.

• Hands-on experience with Microsoft Fabric services (OneLake, Data Factory, Synapse Data Engineering, Power BI, Real-time Analytics).
• Experience in performance tuning on Microsoft Fabric OR Azure.
• Data Governance: Establish data governance frameworks incorporating Microsoft Purview for data quality, lineage, and compliance.
• Proficiency in SQL, Python, PySpark, and Power BI for data engineering and analytics.
• Experience in DevOps for Data (CI/CD, Azure DevOps, GitHub Actions, ARM Templates).
• Strong problem-solving and troubleshooting skills in Azure/Fabric & Data Services.
• Data Flows: Design and technical skill data flows within the Microsoft Fabric environment.
• Storage Strategies: Implement OneLake storage strategies.
• Analytics Configuration: Configure Synapse Analytics workspaces.
• Migration: Experience in potential migration from their existing data platforms like Databricks/Spark, or any other source systems to Microsoft Fabric
• Integration Patterns: Establish Power BI integration patterns.
• Data Integration: Architect data integration patterns between systems using Azure Databricks/Spark and Microsoft Fabric.
• Delta Lake Architecture: Design Delta Lake architecture and implement medallion architecture (Bronze/Silver/Gold layers).
• Real-Time Data Ingestion: Create real-time data ingestion patterns and establish data quality frameworks.
• Security: Implement row-level security, data masking, and audit logging mechanisms.
• Pipeline Development: Design and implement scalable data pipelines using Notebooks/Spark for ETL/ELT processes and real-time data integration.
• Performance Optimization: Implement performance tuning strategies for large-scale data processing and analytics workloads.
• Analytical Skills: Strong analytical and problem-solving skills.
• Communication: Excellent communication and teamwork skills (English).
• Certifications: Relevant certifications in Microsoft data platforms are a plus
• Qualifications : Masters or Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
  
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