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Data Architect

hace 2 meses

Bogotá, Bogotá D.E., Colombia S&P Global A tiempo completo
About the Role:

Job Summary: As a Data Engineer at S&P Global, you will utilize your extensive technical skills to architect, build, and maintain our evolving data infrastructure, which is essential for supporting our advanced analytics and machine learning initiatives.

Responsibilities:

  • Collaborate with stakeholders, including data scientists, analysts, and other engineers, to understand and refine requirements related to data processing and transformation needs.
  • Design, construct, install, and maintain large-scale processing systems and other infrastructure.
  • Build high-performance algorithms, prototypes, and conceptual models and enable the efficient retrieval and analysis of data.
  • Implement ETL processes to acquire, validate, and process incoming data from diverse sources.
  • Ensure data architecture and model adhere to compliance, privacy, and security standards.
  • Work in conjunction with data scientists to optimize data science and machine learning algorithms and models.
  • Provide technical expertise in the resolution of data-related issues, including data quality, data lineage, and data processing errors.
  • Manage the deployment of analytics solutions into production and maintain them.
  • Maintain high-quality processes and deliver projects in collaborative Agile team environments.

Requirements:

  • 7+ years of programming experience particularly in Python.
  • 4+ years of experience working with SQL or NoSQL databases.
  • University degree in Computer Science, Engineering, Mathematics, or related disciplines.
  • Strong understanding of big data technologies and container management tools.
  • Demonstrated ability to design and implement end-to-end scalable and performant data pipelines.
  • Experience with workflow management platforms like Airflow.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate and communicate effectively with both technical and non-technical stakeholders in English.
  • Experience building solutions and working in an Agile working environment.
  • Experience working with git or other source control tools.

Nice to have:

  • Experience working with oil, gas, and energy markets.
  • Familiarity with BI visualization applications (e.g., Tableau, Power BI, Spotfire).
  • Understanding of cloud-based services, preferably AWS.
  • Experience working with unified analytics platforms like Databricks.
  • Experience in managing and deploying containerized applications using cloud-native orchestration tools, data stream processing tools, and container platforms.
  • Machine learning/data science experience.