Senior Data Engineer

Overview

This is a hybrid role based in Malvern, PA

CubeSmart is currently seeking a Senior Data Engineer to join the Information Technology team at our corporate office in Malvern, PA. The Sr Data Engineer will be responsible for the design, development, and implementation of data products and services used to build and enrich the Cloud Data Platform at Cubesmart.

Who we are:

At CubeSmart, we're intentional about culture. You can experience it everywhere from our mission statement of "genuine care" to our "It's What's Inside That Counts" tagline to calling each other "teammates" rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry.

CubeSmart's award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example.

If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you.

Responsibilities

This role will also be responsible for the development and maintenance of the data products and services used to build and enrich the Cloud Data Platform. The role will serve as a technical expert to analyze the needs of CubeSmart's applications and business data requirements and produce an optimal solution according to their needs and specifications, and in alignment with CubeSmart's data design standards. This individual will be part of the team building a data and analytics platform leveraging the Databricks Data Intelligence Platfrom in the Microsoft Azure cloud. This will include designing and building the data ingestion and ETL pipelines and processes to create the cloud Lakehouse environment. In addition, this person may be engaged to develop features in the legacy SQL Server Data Warehouse platform.

Responsibilities

• Collaborate with program manager(s), application development, and data consumers to develop data ingestion and ETL pipelines required to enable CubeSmart data consumers to onboard processes to the Cloud Data Platform

• Build new or enhance existing Data Products and Services used within the Cloud Data Platform

• Provide support as needed to other projects or programs that are consumers of the Cloud Data Platform

• Perform code reviews and mentor junior team members as needed and provide mentorship to analytics users of the Cloud Data Platform

• Collaborate with 3rd party vendors to understand externally sourced data and incorporate into CubeSmart's data environment, in adherence with CubeSmart's data design standards

• Bachelor's degree in Computer Science, Information Technology or a related discipline

• Strong skills in SQL, Python, and PySpark

• Experience with Microsoft Azure data services (Azure Data Factory, Azure Databricks, Azure SQL, and Databricks ML Flow) or equivalent is preferred

• Full understanding of the Software Development Life Cycle (SDLC) and experience with Agile software development processes

• Solid understanding of cloud DevOps capabilities, preferably Azure DevOps

• Experience with MongoDB (or similar non-relational database platform) or PostgreSQL is a plus

• Experience supporting databases and data models for ERP or financial systems in a plus

Qualifications

Knowledge, Skills, Abilities and Personal Characteristics

• Service orientation towards business-focused 24×7 support and service mentality

• Ability to work within a team environment, showing an openness to collaborate with technical and business peer, with the ability to step up and take on new challenges in response to changing business conditions

• Ability to learn quickly, adapt work processes to adhere with best practices

• Ability to clearly convey technical information to both technical and non-technical audiences

• Collaborative individual who creates open channels of communications and encourages technical dialogue across the department

• Well-developed analytical and problem-solving abilities

• Ability to work on multiple tasks and projects at once, with the ability to properly prioritize one's own work and the work of others

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