Data Systems Architect
hace 2 días
At Iron Mountain, we understand that our work has a profound impact on the world around us. We're seeking a skilled Data Engineer to join our team. This role is centered around collecting, processing, and analyzing various types of data to inform strategic decision-making on a global scale. As a Data Engineer at Iron Mountain, you'll work collaboratively with cross-functional teams from diverse locations, designing and optimizing ETL processes in the cloud, primarily utilizing Google Cloud. If you have a strong focus on quality and scalability of solutions, as well as experience in SQL and data visualization, we'd love to hear from you.
Responsibilities- Design and maintain robust, scalable data pipelines, ensuring the integrity and accuracy of information from multiple sources.
- Create and manage ETL processes using cloud tools (primarily Google Cloud) to structure and transform data.
- Collaborate with teams from different departments and countries, providing reports and visualizations in tools like Looker Studio and Tableau, focusing on business data.
- Apply advanced SQL to query and manipulate relational databases, guaranteeing that solutions meet business requirements.
- Develop scripts and automations in Python, utilizing pandas and other libraries for data transformation and analysis.
Salary Range: $120,000 - $180,000 per annum
As a Data Engineer at Iron Mountain, you will be part of a dynamic environment where collaboration and continuous learning are highly valued. You'll have the opportunity to work with a talented team, share knowledge, and contribute to improving the team's practices and tools.
Requirements- Advanced SQL skills and experience in relational databases.
- Excellent communication skills in English (C1 level), to interact effectively with international teams.
- Mastery of Google Cloud Platform (BigQuery, Cloud Functions, etc.).
- Experience with visualization tools: Tableau (essential), Power BI, and Looker Studio.
- Ability to write scripts in Python, especially with the pandas library for data transformation and analysis.
- Experience in agile methodologies and project management tools.
- Knowledge of ETL pipelines and data integration techniques.
- Experience in good data governance practices.
If you're passionate about data engineering and committed to delivering high-quality solutions, we encourage you to apply.
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