- Location
- IND - IMS, India
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workday
Description
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.
Iron Mountain is seeking a vision-driven SSE- Data Analytics to join our DSP IMCapture team.
In this role, you’ll play a key part in designing high-performance data pipelines and analytics solutions that extract actionable insights from complex datasets. Working closely with cross-functional engineering teams, you will have the opportunity to architect robust Google BigQuery infrastructure and Apache NiFi workflows that safeguard data integrity while fueling strategic decisions. Here, your data engineering expertise will directly help modernize our analytics platform and ensure the highest standards of financial precision.
What You’ll Do (Responsibilities) In this role, you will:
Data Analysis & Dashboarding: Translate complex business requirements into technical specs, data models, and interactive visual reports using modern BI tools.
Data Ingestion & Orchestration: Build, configure, and optimize enterprise batch and streaming data pipelines using Apache NiFi while maintaining low latency.
Data Warehouse Optimization: Write advanced SQL queries, stored procedures, and views in Google BigQuery, leveraging partitioning and clustering strategies to balance performance and storage costs.
Data Reconciliation & Governance: Implement automated data auditing frameworks to detect anomalies, data drift, and missing values between source systems and the data warehouse.
What You’ll Bring (Skills & Qualifications) The ideal candidate will have:
8+ years of hands-on experience in Data Analytics, Data Reporting, or Data Engineering roles.
Strong knowledge of Google BigQuery performance tuning, advanced SQL, and Apache NiFi flow management.
Proven ability in building automated data reconciliation frameworks, exception handling, and handling high-volume transactional data.
Proficiency with Python for data manipulation and modern BI tools like Looker, Tableau, Power BI, or Superset.
A Bachelor’s degree; a Master’s degree in Computer Science, Business, or a related field is preferred.
