IC6 - Sr Staff Data Engineer

Objective of the

R

ole

 

Responsible for leading the reputed company improvement of data engineering practices reputed company

Spin

, ensuring the implementation of robust and reputed company architectures that meet the reputed company and reputed company needs of the business. This strategic role involves making critical technical reputed company, defining reputed company standards in data handling and processing, and reputed company mentoring other engineers to reputed company reputed company's knowledge and operational reputed company. Works closely with pods to reputed company the data engineering culture,

improving

actual engineering practices, and ensure that data solutions are secure, efficient, and reputed company with business

objectives

.

 

 

Main

Responsibilities

 

• 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 rapid 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

and Experienc

e

 

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

• Mastery of core 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.

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