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Job Description

This job opening is for a Senior Data Engineer (IC4) at SILMC - SERVICIOS INTEGRADOS DE LEALTAD, MERCADOTECNIA Y COMUNICACIÓN, S.A.P.I. DE C.V. The role involves leading the design, development, and optimization of advanced data solutions, ensuring scalability, reliability, and alignment with business objectives. The Senior Data Engineer will play a critical part in defining data architectures, mentoring team members, and driving the adoption of best practices throughout the data engineering lifecycle. With a strong focus on performance, security, and governance, they will ensure that data solutions contribute to a data-driven culture and deliver measurable business value.

Responsibilities include:

  • Leading the design and implementation of robust and scalable data pipelines.
  • Collaborating with cross-functional teams to gather requirements and define technical solutions.
  • Developing and optimizing data models using industry-standard techniques.
  • Implementing advanced data processing workflows.
  • Driving the adoption of data governance and privacy strategies.
  • Designing and maintaining data architectures.
  • Developing monitoring processes and data quality metrics.
  • Mentoring and guiding junior and mid-level engineers.
  • Leading the integration of APIs and external data sources.
  • Promoting an autonomous work culture.
  • Serving as a Spin Culture Ambassador.

Requirements include:

  • Minimum 5-6 years of experience in data engineering or related fields.
  • Advanced technical expertise in SDLC methodologies.
  • Advanced understanding of design patterns.
  • Advanced experience in Python, Java, and data-related frameworks.
  • Advanced knowledge of dimensional data modeling and ETL/ELT construction.
  • Advanced knowledge in file and data processing.
  • Advanced understanding of data privacy and governance strategies.
  • Advanced knowledge in Data Engineering Lifecycle.
  • Advanced knowledge in processing different types of internal and external data sources with API management.
  • Advanced knowledge in Architecture: Business, Solutions, Data, etc.
  • Advanced mastery in version control (Git, Github, Gitlab).
  • Advanced business vision.
  • Advanced mastery with GCP and AWS Stack for Data.
  • Advanced experience in developing and optimizing SQL and related queries.
  • Advanced experience in Project Management with Agile methodology.
  • Experience in collaborating on projects to achieve OKRs.
  • Advanced competence in transparently communicating project status.
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