Senior Data Engineer
- Calgary, AB, Canada
Compensation Range: $79,000 - $136,700 · Full-time
Applications open in a new tab.
Job details
- Pay
- Compensation Range: $79,000 - $136,700
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
We Are Seeking a Skilled Business Intelligence And Data Engineering Professional With a Strong Background In Design And Development, Data Modeling, And Business Analytics. This Individual Will Collaborate Closely With Our Data Analytics Team To
- Create and maintain data models (dimensional and 3NF) aligned with business requirements.
- Design and develop ETL pipelines that consolidate data from various source systems into a unified data platform, including defining source-to-target mappings, business rules, and any necessary data transformations.
- Develop Semantic Models and Reports / Dashboards based on business requirements.
- Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives.
- Collaborate effectively with clients and team members across regions.
- Bachelor’s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, or Analytics.
- 3+ years of experience designing data models across multiple subject areas and business domains.
- 3+ years of experience in designing and developing business intelligence solutions.
- 3+ years of designing and developing scalable, efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses
- Proficient in SQL
- Experience with Python/Scala
- Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP
- Experience with data platforms like Fabric, Databricks or Snowflake
- Experience with GIT, DevOps, CI/CD and Version Control
- Experience with BI visualization tools such as Power BI, Quick Sight or Tableau.
- Strong communication skills, both written and verbal.
- Excellent critical thinking and problem-solving abilities.
- Team-oriented with the ability to work independently and in virtual teams.
- Passion for solving complex business problems through data-driven solutions.
- This role requires periodic travel to the United States for business purposes. Candidates must be able to meet the travel requirements of the position, which may include up to 20% travel.
- Experience conducting solution / technical assessments.
- Experience with DBT, Spark and BigData technologies
- Knowledge of Databricks.
- Working knowledge of the modernized information management tool (e.g., Collibra, Informatica, Talend, Alation, Purview)
We believe flexibility and in-person connection both play an important role in how we work and grow. Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together in person when it best supports clients, teams, development or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities and client needs.
RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Canadian uniformed service; Canadian Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.
Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.
At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Compensation Range: $79,000 - $136,700
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.
More about this job
Responsibilities
Design and maintain dimensional and 3NF data models, and build scalable ETL pipelines that consolidate data from multiple sources into a unified data platform. Develop semantic models, reports, and dashboards; gather business requirements and analyze data; and collaborate with clients and distributed teams.
Requirements
Requires a bachelor’s degree or equivalent experience in a relevant quantitative, technical, business, or analytics field, plus at least three years of experience in data modeling, business intelligence, and data pipeline development. Candidates should be proficient in SQL, have Python or Scala experience, and be familiar with cloud and data platforms, version control and CI/CD, and BI visualization tools; travel of up to 20% may be required.
Skills
- Data Modeling
- Business Intelligence
- ETL Pipeline Development
- SQL
- Python
- Scala
- Cloud Platforms
- Microsoft Azure
- AWS
- Google Cloud Platform
- Microsoft Fabric
- Databricks
- Snowflake
- Git
- DevOps
- CI/CD
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
- Finance & Accounting
Keywords
- Business Intelligence
- Data Engineering
- Data Modeling
- Dimensional Modeling
- Third Normal Form
- ETL
- Source-to-Target Mapping
- Business Rules
- Data Transformation
- Semantic Models
- Dashboards
- Business Analytics
- SQL
- Python
- Scala
- Microsoft Azure
- AWS
- Google Cloud Platform
- Microsoft Fabric
- Databricks
- Snowflake
- Git
- DevOps
- CI/CD
- Power BI
- QuickSight
- Tableau
- dbt
- Apache Spark
- Data Lakes