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15 часов назад

Data Engineer I

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer I (SQL/Python): Building and optimizing data pipelines, warehouses, and ETL processes across on-premises and cloud environments with an accent on data quality, security, reliability, and performance. Focus on designing scalable data movement and transformation systems, optimizing complex queries, and managing Microsoft SQL Server and PostgreSQL deployments on AWS or Azure.

Location: Mexico

Company

hirify.global provides risk and financial advisory solutions, combining established expertise with technology to support client value.

What you will do

  • Design and build data pipelines that move, transform, and load data from multiple sources into warehouses or lakes.
  • Model and manage data warehouses, including Synapse, Snowflake, Redshift, and BigQuery environments.
  • Develop and optimize ETL processes and orchestration using tools such as Apache NiFi, Informatica, Airflow, Ascend, Apache Spark, and DBT.
  • Implement data cleaning, validation, monitoring, security controls, permissions, and access management.
  • Optimize scalability, query performance, reliability, and data quality across enterprise architectures.
  • Help establish standards and communities of practice for international data professionals and developers while supporting timely, high-quality client deliverables.

Requirements

  • Master’s degree in Technology, Data Science, Mathematics, Statistics, or a related field, with a minimum of 3 years of experience in the areas above.
  • Proficiency in SQL, including T-SQL, PL/pgSQL, or Spark-SQL, and experience with query optimization.
  • Strong understanding of relational database management systems and data warehousing concepts.
  • Experience with on-premises and cloud-based Microsoft SQL Server and PostgreSQL deployments on AWS or Azure.
  • Experience designing and implementing data pipelines, ETL processes, and data movement and transformation solutions.
  • Familiarity with database administration, including user and security management, backup and recovery, and performance monitoring.
  • Experience with Java, C#.NET, and/or Python and methods for interacting with persistence layers.
  • Working knowledge of AWS or Azure for infrastructure provisioning and management, plus familiarity with Git.
  • Ability to manage confidential and sensitive information.

Nice to have

  • Certifications in Cloud and Data Science.
  • Exposure to data quality best practices and methodologies.

Culture & Benefits

  • Collaborative and empowering environment within an international team.
  • Equal opportunity and diversity commitment, with recruitment based on merit.
  • Work contributes to risk and financial advisory solutions and client deliverables.

Hiring process

  • Formal application through careers.hirify.global.com is required for consideration.

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