IC4 - Sr Data Engineer

Sé de los primeros solicitantes.
Spin Careers
Ciudad de México
MXN 200,000 - 400,000
Sé de los primeros solicitantes.
Hace 5 días
Descripción del empleo

Objective of the Role

Leads the design, development, and optimization of advanced data solutions, ensuring scalability, reliability, and alignment with business objectives. This role plays 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, ensures that data solutions contribute to a data-driven culture and deliver measurable business value.

Main Responsibilities

  • Lead the design and implementation of robust and scalable data pipelines, enabling efficient ingestion, processing, and storage of structured, semi-structured, and unstructured data.
  • Collaborate with cross-functional teams to gather requirements, define technical solutions, and align data architectures with business needs.
  • Develop and optimize data models using industry-standard techniques to support analytics, reporting, and AI-driven solutions.
  • Implement advanced data processing workflows, including batch, microbatch, near real-time, and real-time pipelines, to ensure seamless data availability and performance.
  • Drive the adoption of data governance and privacy strategies, ensuring compliance with security and regulatory requirements throughout the data lifecycle.
  • Design and maintain data architectures, contributing to the scalability and reliability of data lakes, warehouses, and real-time streaming platforms.
  • Develop monitoring processes and data quality metrics to ensure the reliability, integrity, and completeness of data used for decision-making.
  • Actively contribute to all phases of the data engineering lifecycle, adhering to Agile methodologies and ensuring timely delivery of high-quality solutions.
  • Mentor and guide junior and mid-level engineers, fostering a collaborative and inclusive team environment.
  • Maintain and document data architectures, processes, and technical workflows to ensure continuity and knowledge sharing.
  • Lead the integration of APIs and external data sources, optimizing data flows and ensuring compatibility with existing architectures.
  • Manage version control and repository practices to maintain clean, reliable, and maintainable codebases.
  • Promote an autonomous work culture by encouraging self-management, accountability, and proactive problem-solving among team members.
  • Serve as a Spin Culture Ambassador to foster and maintain a positive, inclusive, and dynamic work environment that aligns with the company's values and culture.

Required Knowledge and Experience

  • Minimum 5 - 6 years of experience in data engineering or related fields, with proven expertise in designing and implementing scalable data solutions.
  • Advanced technical expertise in software development life cycle (SDLC) methodologies.
  • Advanced understanding of design patterns.
  • Able to work autonomously and provide support to less qualified professionals.
  • Advanced experience in the use of Python, Java, and data related frameworks.
  • Advanced knowledge of dimensional data modeling and advanced techniques in this field, including structured, semi-structured, and unstructured data storage (non-SQL), as well as ETL, ELT construction.
  • Advanced knowledge in file processing: CSV, JSON, Parquet, Yaml, images, and videos.
  • Advanced knowledge in data processing: batch, microbatch, near real-time, and real-time.
  • Advanced understanding and experience to contribute and implement data privacy strategies.
  • Advanced understanding and experience in implementing and maintaining robust data governance strategies.
  • Advanced knowledge in Data Engineering Lifecycle (also known as Data Processing Lifecycle).
  • Advanced knowledge in processing different types of internal and external data sources with API management, for subsequent processing, storage, and analysis.
  • Advanced knowledge in understanding Architecture: Business, Solutions, Data, etc.
  • Advanced mastery in version control: Git, Github, Gitlab.
  • Advanced in business vision (business domain), to sensitively identify how data contributes to the business.
  • Advanced mastery and evidence with projects using the Google Cloud Platform (GCP) Stack for Data.
  • Advanced mastery and evidence with projects using the Amazon Web Services (AWS) Stack for Data.
  • Advanced experience in developing and optimizing SQL and related queries.
  • Able to effectively and exceptionally socialize the design of the data solution without supervision.
  • Advanced experience in Project Management with Agile methodology (Scrum or Kanban).
  • Experience in collaborating on projects to achieve OKRs, warning of risks, and providing business value.
  • Advanced competence in transparently communicating project status.
Obtenga la revisión gratuita y confidencial de su currículum.
Selecciona un archivo o arrástralo y suéltalo
Avatar
Asesoramiento online gratuito
¡Mejora tus posibilidades de entrevistarte para ese puesto!
Adelántate y explora vacantes nuevas de IC4 - Sr Data Engineer en