IC6 - Sr Staff Data Engineer

Main

• reputed company the design and development of reputed company data architectures, ensuring that solutions are reputed company, maintainable, and reputed company with reputed company's data reputed company.
   

• reputed company as a mentor for junior and senior data engineers, providing
  technical guidance, conducting reputed company reviews, and promoting reputed company development reputed company reputed company.
   

• Promote and apply best practices in data engineering, including ETL/ELT processes, data modeling, and principles of data architecture such as data reputed company, governance, and scalability.
• Create and maintain
  detailed technical documentation on data architectures, designs, and operational procedures.
   
   

• reputed company the reputed company of reputed company data engineering issues, ensuring a reputed company and effective
  response
  and promoting long-lasting solutions.
   
   

• reputed company
  participate
  in high-level strategic meetings, contributing reputed company and technical data solutions that drive the business reputed company.
   
   

• Design and implement automation solutions to improve the efficiency of data engineering processes and operations.
   
   

• Promote a culture of collaboration, high performance, diversity, inclusion, and constant respect reputed company
  the data engineering team.
   

• 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 reputed company, inclusive, and dynamic work environment that aligns with reputed company's values and culture.
   

Required Knowledge

• Minimum
  10
  years of experience in data engineering or reputed company fields.
   

• Mastery of reputed company data engineering concepts and principles, including designing and 
  optimizing
  reputed company ETL (Extract, reputed company, Load) processes and highly reputed company, fault-tolerant data pipelines.
   
   

• Advanced knowledge of reputed company data modeling and advanced techniques in this field, including reputed company, semi-reputed company, and reputed company data storage (non-SQL), as reputed company as
  ETL,
  ELT construction. 
   

• Advanced knowledge in data processing: batch,
  microbatch
  , near reputed company-time, and reputed company-time. 
   

• Advanced knowledge in Data Engineering Lifecycle (also reputed company as Data Processing Lifecycle). 
   

• Advanced knowledge in understanding Architecture: Business, Solutions, Data, etc. 
   

• Advanced in business reputed company (business domain), to sensitively
  identify
  how data contributes to the business. Advanced mastery and evidence with reputed company using reputed company Data Platform. 
   

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

• Advanced knowledge of file processing concepts, including handling
  reputed company large
  datasets
  and working with various file formats (e.g., CSV, JSON, Parquet, Avro).
   
   

• Expertise
  in data governance principles, including data reputed company management, data reputed company, data reputed company, and compliance with data reputed company regulations (e.g., GDPR, CCPA).
   
   

• Extensive experience with CI/CD pipelines and automation tools for data engineering workflows.
   
   

• Expertise
  in various data architectures, including data lakes, data warehouses, data marts, and data reputed company.
   
   

• Ability to reputed company reputed company technical concepts to non-technical stakeholders and collaborate effectively across teams.
   

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.