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IC3 – Data Engineer at Spin Careers

Data Engineer role, design, develop, and maintain data pipelines.
On-Site
Mexico
Undisclosed salary
A data-driven organization is looking for a Data Engineer to join their team. The Data Engineer will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support the organization’s data-driven initiatives. The role involves contributing to all phases of the data engineering lifecycle, ensuring scalability, reliability, and performance. The Data Engineer demonstrates technical leadership by solving complex problems, mentoring junior engineers, and actively improving data engineering practices.

Main Responsibilities:

  • Design and implement scalable and efficient data pipelines.
  • Collaborate with stakeholders to gather requirements and identify data sources.
  • Develop and optimize ETL processes.
  • Create and maintain data models.
  • Build and manage cloud-based data architectures.
  • Implement monitoring and alerting systems.
  • Contribute to data governance initiatives.
  • Utilize advanced data processing frameworks like Apache Spark, Apache Kafka, and Flink.
  • Maintain and enhance CI/CD pipelines.
  • Perform code reviews.
  • Document processes, architectures, and technical workflows.
  • Mentor junior engineers.
  • Identify opportunities for process optimization and automation.
  • Collaborate with cross-functional teams.

Required Knowledge and Experience:

  • Minimum 3 - 4 years of experience as a Data Engineer.
  • In-depth understanding of core data engineering concepts and principles.
  • Advanced proficiency in Python.
  • Extensive experience with Python libraries and frameworks.
  • Strong knowledge of both SQL and NoSQL databases.
  • Advanced understanding of data modeling concepts and techniques.
  • Proficient in various data processing methods.
  • Extensive experience with data processing frameworks like Apache Spark, Apache Kafka, and Apache Flink.
  • Advanced knowledge of file processing concepts.
  • Strong understanding of data governance principles.
  • Comprehensive understanding of the end-to-end data engineering lifecycle.
  • Experience with CI/CD pipelines and automation for data engineering workflows.
  • Advanced understanding of various data architectures.
  • Proficient with version control systems (e.g., Git).
  • Advanced understanding of data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of cloud computing in AWS and GCP stacks.
  • Basic experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  • Proven experience leading projects with Objectives and Key Results (OKRs).
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Spin Careers

Spin Careers, a FEMSA business unit, enhances lives through a comprehensive ecosystem of financial and digital solutions. Spin delivers added value by empowering users and communities to optimize their time and money. The Spin ecosystem encompasses accessible solutions for everyday needs, including the Spin by OXXO digital wallet, Spin Premia loyalty program, and Spin Negocios, offering solutions like NetPay and OXXO PAY for businesses. Spin is committed to diversity and inclusion, providing equal opportunities and not discriminating based on various protected characteristics.