At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
Overview: We are seeking an Engineer with 1-2 years of experience to join our EDP Service
Delivery team. This role requires a strong foundation in SQL, knowledge of GCP, Strong Python
Scripting skills, and a conceptual understanding of data lakes and data ponds. He/She will work
on GCP projects to support our business operations and data-driven decision-making.
Key Responsibilities:
● Develop and execute SQL queries to extract, transform, and analyze data from various
sources.
● Monitor the various data integrations between platforms and fix any problems.
● Collaborate with senior engineers to help resolve Production issues.
● Assist in data modeling and the design of data lakes to support analytics initiatives.
● Collaborate with cross-functional teams to address business needs through data
analysis.
● Contribute to projects involving data integration and migration to cloud platforms like
GCP.
Qualifications:
● 1-2 years of experience in data analysis, preferably in a business operations or sales
environment.
● Proficiency in SQL and experience working with databases.
● Knowledge of GCP and its data structure.
● Conceptual understanding of data lakes and data warehousing principles.
● Strong analytical, problem-solving, and communication skills.
● Ability to work independently and as part of a team.
What We Offer:
● Exposure to cutting-edge data analytics technologies and methodologies.
● Opportunities for growth and advancement in a dynamic, data-driven environment.
● Collaboration with experienced professionals and access to continuous learning.