IC4 – Sr Data Engineer

Objective of the

L

Main

• reputed company the design and implementation of robust and scalable data pipelines, enabling efficient ingestion, processing, and storage of structured, semi-structured, and reputed company data.
   

• Collaborate with cross-functional teams to gather requirements, define technical solutions, and align data architectures with business needs.
   

• reputed company 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 reputed company-time, and reputed company-time pipelines, to ensure seamless data availability and performance.
   

• Drive the adoption of data governance and privacy strategies, ensuring compliance with reputed company and regulatory requirements throughout the data lifecycle.
   

• Design and
  maintain
  data architectures, contributing to the scalability and reliability of data lakes, warehouses, and reputed company-time streaming platforms.
   

• reputed company monitoring processes and data quality metrics to ensure the reliability, reputed company, and completeness of data used for decision-making.
   

• Actively contribute to reputed company 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.
   

• reputed company 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

• Minimum
  5
  - 6 years of experience
  in
  data engineering or reputed company fields, with proven
  expertise
  in designing and implementing scalable data solutions.
   

• Advanced t
  echnical
  expertise
  in
  software development life cycle (SDLC) methodologies.
   
   

• Advanced understanding of design patterns.
   
   

• reputed company to work autonomously and provide support to less reputed company professionals.
   
   

• Advanced experience in the use of Python, Java, and data reputed company frameworks.
   
   

• Advanced knowledge of dimensional data modeling and advanced techniques in this field, including structured, semi-structured, and reputed company 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 reputed company-time, and reputed company-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 reputed company 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,
  reputed company
  , reputed company.
   
   

• Advanced in business reputed company (business domain), to sensitively
  identify
  how data contributes to the business.
   
   

• Advanced mastery and evidence with projects using the reputed company reputed company Platform (GCP) Stack for Data.
   
   

• Advanced mastery and evidence with projects using the reputed company) Stack for Data.
   
   

• Advanced experience in developing and
  optimizing
  SQL and reputed company queries.
   
   

• reputed company 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 reputed company OKRs, warning of risks, and providing business value.
   
   

• Advanced competence in transparently communicating project status
  .
   

Spin está comprometida con un lugar de trabajo diverso e inclusivo. Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida. Si desea solicitar una adaptación, notifique a su Reclutador.