EY Data Engineer - EY Global Delivery Services 

Argentina, Autonomous City of Buenos Aires, Buenos Aires 

468119367

Position Details:

Job Title: Data Engineer

Roles & Responsibilities

• Design and develop scalable data pipelines using Azure Data Factory (ADF) and SQL-based transformations.
• Architect and implement data solutions that meet business needs and performance goals
  Build, enhance, and maintain Power BI reports and dashboards with a focus on usability and performance.
• Diagnose, debug, and optimize slow-running data processes and analytics queries
  Collaborate with stakeholders across engineering, analytics, and business functions to understand requirements and translate them into scalable technical solutions.
• Ensure data quality, integrity, and governance throughout the pipeline
  Implement DevOps best practices to automate testing, deployment, and monitoring of data pipelines and BI assets.
• Use Python for scripting, automation, and integration of cloud data workflows.
• Create technical documentation, data models, and architecture diagrams
  Stay up to date with advancements in cloud data technologies and recommend improvements

Requirements

• A bachelor’s degree in computer science, Software Engineering, or a related field is required.
• The candidate should have over 7 years of experience in Data Engineering and BI Solution development.
• They must possess strong expertise in Azure Data Factory, including linked services, datasets, pipelines, and triggers.
• Expert-level SQL skills are essential, including complex query design, optimization, and troubleshooting.
• Proficiency in Power BI is necessary, particularly in data modelling, DAX, report design, and performance tuning.
• A solid understanding of data warehousing concepts, ELT/ETL strategies, and data architecture best practices is crucial.
• The candidate should have experience in debugging data flows, diagnosing bottlenecks, and improving end-to-end performance.
• Proficiency in Python for scripting and automation is required.
• Experience with DevOps tools and CI/CD workflows (e.g., Git, Azure DevOps, GitHub Actions) is important.
• A passion for clean code, performance optimization, and designing robust, supportable systems is essential.
• Proficiency in AI-assisted development practices as part of the solution development toolkit is also required.
• The candidate should have experience in leading small teams and possess good people management skills.
• Excellent presentation and documentation skills, good business acumen, and sound knowledge of Agile principles and SDLC are also necessary.

Good to have

• Microsoft Certifications relevant to the role.
• Experience with Azure Synapse, Azure SQL DB, or Databricks.
• Knowledge of PowerShell or other automation tools a plus.
• Ability to balance speed with precision in a fast-paced environment.
• Understanding of integration technologies, APIs, and protocols
• Experience developing/managing chatbot using virtual agent will be an asset

We Value

• Curiosity-driven problem solvers.
• Proactive collaborators who bring solutions, not just issues.
• Engineers who care about both the technical design and the user outcome.
• Professionals who enjoy optimizing things that already “work” to make them better.