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10 минут назад

Senior Data Engineer (Fintech)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico

Описание вакансии

Текст:
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TL;DR

Senior Data Engineer (Fintech): Transforming legacy data environments into modern, scalable data platforms using Snowflake, Hive, Databricks, and Airflow with an accent on ETL pipeline optimization and SQL performance. Focus on migrating legacy SQL Server environments to cloud-based platforms and ensuring high data quality and governance.

Location: Aguascalientes, Mexico

Company

hirify.global is a global business and technology transformation partner helping organizations accelerate their digital and sustainable transition.

What you will do

  • Design, develop, and optimize scalable ETL and data processing pipelines.
  • Lead the migration of legacy SQL Server environments to modern cloud-based data platforms.
  • Develop and maintain complex SQL queries for data transformation and performance improvement.
  • Build, schedule, and maintain data workflows using Apache Airflow.
  • Create and optimize data models, including schema design and partitioning strategies.
  • Collaborate with architects, analysts, and stakeholders to deliver business-critical data solutions.

Requirements

  • 5+ years of experience in Data Engineering.
  • Advanced expertise in SQL with a focus on query optimization and performance tuning.
  • Proven experience designing and developing ETL and data processing solutions.
  • Ability to analyze, troubleshoot, and debug complex data pipelines.
  • Strong analytical, problem-solving, and communication skills.
  • Must be based in Aguascalientes, Mexico.

Nice to have

  • Hands-on experience with Snowflake and/or Hive.
  • Strong proficiency in Python for data engineering and automation.
  • Experience with Apache Airflow workflows.
  • Exposure to Databricks and modern data lakehouse architectures.
  • Solid understanding of dimensional modeling and data warehousing concepts.

Culture & Benefits

  • Participation in large-scale data modernization and transformation programs.
  • Exposure to enterprise-scale data platforms and cutting-edge technologies.
  • Access to industry-leading learning platforms, certifications, and mentorship.
  • Collaborative, diverse, and innovative global work environment.
  • Comprehensive well-being initiatives for personal and professional growth.