Data Architect Data Analytics

3 weeks ago


Toronto ON, Canada Bow River Solutions Full time

Based in Calgary, Alberta, Bow River Solutions provides Business Intelligence solutions that transform your data into actionable insights.
Our successful projects across Canada and the USA, spanning diverse sectors such as Energy, Technology, Finance, and more, have solidified our position as a trusted and respected leader in the Calgary analytics landscape.
Let us bring your data to life.
**We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. This role will be joining our data engineering team to help build out data pipelines utilizing Python, PySpark and SQL. This role will also be critical in designing and building out data models within a Data Warehouse / Lakehouse system. This position will also have responsibilities with Databricks administration/configuration, Denodo integration development and DevOps practices with Terraform and Azure.
**Develop and maintain scalable data pipelines using Python, Spark and SQL to process large volumes of data

* Design and implement data models and schemas to support business needs

* Optimize data processing and storage solutions for performance and efficiency

* Ensure data quality and integrity by implementing robust testing and validation processes

* Stay abreast of emerging technologies and industry trends to continuously improve our data engineering capabilities
**Professional English Level (spoken, written and read)

* Bachelor's degree in Computer Science, Engineering, or a related field

* 5+ years of experience in data engineering

* 3+ years of experience in data engineering specific to Python and PySpark

* Experience with data modelling and data warehousing is desired
**Familiarity with machine learning and AI concepts is a plus
If you are passionate about leveraging data to drive business insights and are excited about joining a dynamic and innovative team, we encourage you to apply for this position.
_Bow River Solutions is an equal opportunity employer and values diversity in the workplace. We welcome applications from all qualified individuals, including those with diverse backgrounds and those with disabilities._
Original job Data Engineer posted on GrabJobs .


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