Iron Mountain Senior Data Platform Engineer in Remote, Massachusetts
At Iron Mountain we protect what our customers value most, from the everyday to the extraordinary, while helping them bridge the physical and digital world. Our people have the opportunity to bring their creativity to a workplace that thrives on change. Here, you will be part of a team that doesn’t just embrace what’s exceptional. It creates exceptional.
As Iron Mountain continues its digital transformation, we are growing out our Enterprise Data Platform Team, directly supporting all business intelligence, analytics and data integration solutions at Iron Mountain. This team is responsible for design, development and implementation of data platform components used to deliver our data solutions.
Our Senior Data Platform Engineer would need advanced knowledge of cloud big data technologies, software development experience, and strong SQL skills. The ideal candidate for this role has a background in software development and big data engineering that is comfortable in a remote working environment supporting hybrid on-shore/off-shore engineering teams.
Build and operationalize cloud-based platform components
Build production quality ingestion pipelines with automated quality checks to help enable the business to access all of our data sets in one place
Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it.
Build automation, using Python modules, to support our product development and data analytics initiatives
Achieve maximum uptime of our platform utilizing cloud technologies such as Kubernetes, Terraform, Docker, etc.
Resolving technical problems as they arise.
Providing guidance to development teams.
Continually researching current and emerging technologies and proposing changes where needed.
Assessing the business impact that certain technical choices have.
Participate in a collaborative, peer review based environment fostering new ideas via cross team guilds / specialty groups
Maintain comprehensive documentation around our processes / decision making
Have experience with DevOps / Automation tools to help minimize operational overhead for our platform
Must be able to contribute to self-organizing teams with minimal supervision working within the Agile / Scrum project methodology
Bachelors Degree in Computer science or related field
3+ years of related information technology experience
1+ years of strong experience building complex ETL pipelines with dependency management utilizing File Watchers, APIs, etc.
Airflow, Talend, etc.
2+ years of strong experience directly related to Big Data technologies
Spark, Hive, Hadoop, Parquet, HDFS, Python, Scala, Data Lake, NoSQL
Demonstrated experience with the Scrum Agile methodology
Deep familiarity with PaaS services, containers, orchestrations specifically around Docker and Kubernetes.
Strong ability to learn new technologies in a short time.
Must possess well-developed verbal and written communication skills
Industry recognized certifications (preferred not required)
GCP Certified Data Engineer
GCP Certified Solutions Architect
AWS Solutions Architect
Spark Certified Developer
WHAT’S IN IT FOR YOU?
Be part of an ever evolving global organization focused on transformation and innovation
A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self
Global connectivity to learn from 26,000+ teammates across 52 countries
Be part of a winning team who embrace diversity, inclusion, and our differences
Competitive Total Reward offerings to support your career at Iron Mountain, family, personal wellness, financial wellbeing, and retirement
Category: Information Technology Group
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