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 stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

About the position...

The Data Engineer will be tasked with designing and implementing data solutions within an agile development framework. The ideal candidate will possess extensive experience in developing and deploying data pipelines and architectures in cloud environments, with a focus on optimising performance and scalability for large-scale data processing

What We Offer

• Insurance coverage for employees and their families, including parents.

• Gratuity is given to employees after three years with the company upon leaving

• Competitive rewards cover career growth, family, wellness, finances, and retirement

• Paid Time off: You're entitled to 13 days of paid leave and 12 sick/casual days each calendar year, plus company-declared public holidays.

• Internet reimbursement (Quarterly basis)

YOU'LL GET TO...

• Participate in discussions to design scalable and efficient data systems that meet business needs, focusing on performance and scalability. Evaluate options and propose the best solutions.

• Design, build, and maintain data pipelines for ingesting, processing, and transforming large datasets from various sources, ensuring data quality and reliability.

• Create and optimise data models for analytics and reporting, improving data storage and retrieval for better performance.

• Manage data warehouses and storage systems, efficiently organising both structured and unstructured data. Implement techniques like partitioning, indexing, and compression to optimise storage.

• Develop and automate ETL processes using the right tools and frameworks, streamlining data integration and transformation tasks.

• Work with data scientists, analysts, and software engineers to integrate data solutions into existing systems, supporting data-driven decisions across the organisation.

• Monitor data systems for performance issues, identify bottlenecks, and optimise for better scalability and efficiency. Set up logging, monitoring, and alerts for proactive issue detection.

• Keep up with new technologies and best practices in data engineering. Experiment with new tools and techniques to improve data processing.

• Troubleshoot complex issues in ETL workflows and infrastructure, analysing logs and performance data to quickly resolve problems.

THE IDEAL CANDIDATE...

• 6+ years of experience in data engineering.

• Proficiency in Python or Scala.

• Experience with cloud platforms (GCP, AWS, or Azure) and data processing frameworks (Spark, Kafka, etc.).

• Strong communication, collaboration, and problem-solving skills with a history of delivering production-grade systems in a team setting.

• Experience in leading or mentoring a team of 5–6 engineers.

• Quick learner who takes pride in building new products and engaging others to accelerate technical solutions.

• Proficiency in designing and managing data processing pipelines using tools like Spark, Kafka Streams, Trino, and Airflow.

• Knowledge and experience with:

• cloud infrastructure (GCP, AWS, or Azure).

• Git platforms (GitLab, GitHub).

• Linux systems or Bash scripting.

• orchestration engines (airflow, conductor).

• Experience in building scalable data processing systems, both batch and event-based, with high throughput and low latency.

• Ability to design and implement solutions using NoSQL or GraphDB systems.

• Exposure to ML and DevOps is highly desirable.

• BE, BTech, or MCA from an accredited or recognised university.

Interested applicants can apply for the position directly through this job posting or by emailing runa.singha@ironmountain.com.

Thanks and regards,

Runa

TA Team

Category: Information Technology

Iron Mountain is a global leader in storage and information management services trusted by more than 225,000 organizations in 60 countries. We safeguard billions of our customers’ assets, including critical business information, highly sensitive data, and invaluable cultural and historic artifacts. Take a look at our history here.

Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Please see our Values and Code of Ethics for a look at our principles and aspirations in elevating the power of our work together.

If you have a physical or mental disability that requires special accommodations, please let us know by sending an email to accommodationrequest@ironmountain.com. See the Supplement to learn more about Equal Employment Opportunity.

Iron Mountain is committed to a policy of equal employment opportunity. We recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law.

To view the Equal Employment Opportunity is the Law posters and the supplement, as well as the Pay Transparency Policy Statement, CLICK HERE

Requisition: J0073245