Azure Data Engineer (Guadalajara)

Who You’ll Work With

As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

The General Technology Microsoft Center of Excellence (MCoE) drives strategic direction and enablement. We accelerate innovation and learning, advance sales and delivery excellence by amplifying Slalom’s proven local model with high-caliber Microsoft technology expertise. Our focus is Microsoft’s six go-to-market solution areas: Modern Work, Security, Azure Infrastructure, Digital & Application Innovation, Data & AI, and Business Applications.

What You’ll Do

• Understand business goals and drivers and translate those into an appropriate technical cloud solution.
• Be the solution ambassador for Microsoft Azure data solution, architecture, related technologies and their interdependencies.
• Create innovative solutions by leveraging cloud platforms to solve client business challenges.
• Gather requirements, assess client capabilities and analyze findings to provide appropriate cloud recommendations and adoption strategy.
• Demonstrate expertise via client workshops and learning whiteboard sessions.
• Create conceptual, logical and physical design for cloud-based solutions for analytics platforms.
• Research, analyze, recommend and select technical approaches for solving difficult and challenging development and integration problems.
• Design and implement reusable data ingestion and self-serve analytics frameworks.
• Learn and adopt new tools and techniques to increase performance, automation and scalability.

What You’ll Bring

• Production level experience migrating and deploying Azure analytics solutions.
• Proficiency in implementing data services including Microsoft Fabric, Real-time Intelligence, Azure Synapse, Databricks, Azure Data Lake, Azure Data Factory, and Self-Serve Analytics with Semantic Data Models Power BI Premium.
• General understanding implementing Microsoft Fabric Capacities and Copilot for Power BI and Data Engineering.
• Defining governance and roadmaps for data analytics projects.
• Assist in designing multi-phased Azure data strategies, including designing multi-phased implementation roadmaps.
• Experience with performance analysis, troubleshooting and remediation techniques.
• Design and develop scalable data models and data ingestion frameworks to transform a wide variety of datasets.
• Research, analyze, recommend and select technical approaches for solving challenging and complex development and integration problems.
• Proficient with PySpark, T-SQL, data pipelines, notebooks, and semantic models.
• Experience implementing LLM-based context-aware virtual assistant with OpenAI endpoints.
• Experience with agile, automation and DevOps principles.
• Automation and orchestration experience with Visual Studio/VS Code, GitHub, Azure DevOps, Ansible, Bicep, or Terraform is a plus.
• Certifications: AI-102: Azure AI Engineer Associate, DP-600: Fabric Analytics Engineer Associate, DP-700: Fabric Data Engineer Associate, Lakehouse Fundamentals, Databricks Data Engineering Associate, Spark Developer Associate or Machine Learning Associate.