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Test Lab Data Engineer II

tti · Torreon

Nuevo
🇬🇧 English
C# .NET Java Python JavaScript TypeScript REST APIs SQL Git Microsoft Azure CI/CD DevOps Azure Data Factory Databricks Snowflake Apache Spark

Descripcion del puesto

About the role

The Test Lab Data Engineer II is responsible for designing, developing, testing, implementing, and maintaining scalable software applications that support business operations and organizational objectives. This role works closely with business stakeholders and technical teams to translate functional requirements into reliable, efficient solutions.

Key responsibilities

  • Design, develop, test, deploy, and maintain software applications and technical solutions according to business requirements.
  • Translate functional and technical requirements into scalable, maintainable, and efficient code.
  • Develop and maintain APIs, system integrations, databases, and application components.
  • Troubleshoot application issues, identify root causes, and implement effective technical solutions.
  • Perform code reviews, testing, debugging, and performance optimization to ensure software quality.
  • Maintain technical documentation related to applications, integrations, and system configurations.
  • Collaborate with local and global teams to ensure successful implementation and integration of software solutions.
  • Utilize planning tools, metrics, and dashboards to monitor development activities, project progress, and application performance.

Required profile

  • Bachelor’s degree in software engineering, Computer Science, Information Systems, or a related field.
  • Advanced English proficiency.

Required skills

  • Strong knowledge of object‑oriented programming and application design principles.
  • Proficiency in C#.NET, Java, Python, JavaScript/TypeScript.
  • Experience developing and integrating REST APIs and web services.
  • Knowledge of SQL, relational databases, database design, and query optimization.
  • Experience with Git or other version control systems.
  • Understanding of cloud platforms, preferably Microsoft Azure.
  • Familiarity with CI/CD pipelines, DevOps practices, and automated deployments.
  • Knowledge of data integration platforms such as Azure Data Factory, Databricks, Snowflake, or Apache Spark.

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Source : ats:workday

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Publicado hace 4 horas

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