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2 дня назад

Data Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (Python/SQL): Designing and developing data platforms and ETL/ELT pipelines to transform raw data into actionable insights with an accent on data infrastructure and lifecycle management. Focus on cleansing, normalizing, and optimizing large-scale datasets to ensure high data quality and availability for strategic decision-making.

Location: Mexico City, Mexico (Hybrid)

Company

hirify.global is a leader in managing and reimagining mission-critical technology systems for the world's leading businesses.

What you will do

  • Design and architect data pipelines to cleanse, normalize, and transform raw data into final datasets.
  • Engineer the backbone of data infrastructure to ensure the availability of pristine, refined data sets.
  • Convert business objectives and requirements into technical data specifications and puzzles.
  • Analyze information to uncover quality issues and initial insights.
  • Manage the full data lifecycle to ensure information remains fresh and impactful.
  • Collaborate with global teams to ensure data solutions align with technical and business requirements.

Requirements

  • 5+ years of experience in data engineering or related roles.
  • Strong proficiency in SQL and data modeling techniques.
  • Hands-on experience designing and developing ETL/ELT processes.
  • Proficiency in Python or Scala for data processing.
  • Experience working with relational and NoSQL databases.
  • Familiarity with Git and exposure to CI/CD pipelines.

Nice to have

  • Experience within the financial services or banking sector.
  • Experience with cloud-based data platforms such as Snowflake, BigQuery, or Redshift.
  • Familiarity with orchestration tools like Apache Airflow and distributed frameworks like Apache Spark.
  • Knowledge of data governance, data quality, and lineage practices.
  • Basic English proficiency for technical documentation and global collaboration.

Culture & Benefits

  • Hybrid-friendly culture that supports well-being and professional growth.
  • Comprehensive "Be Well" programs focusing on financial, mental, physical, and social health.
  • Access to cutting-edge learning opportunities and certifications from Microsoft, Google, and Amazon.
  • Inclusive, empathetic work environment emphasizing a sense of belonging.
  • Structured career development with personalized goals and continuous feedback.

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