Data Engineer

3 weeks ago

Calgary, Alberta, Canada Graham Full time

Graham is a leading construction solutions partner that delivers lasting value to its clients through meticulous planning and scheduling, while upholding rigorous safety and quality standards. Our team of experts is seeking a skilled Data Engineer to join our Corporate Services team and support our construction operations by applying their expertise to various business initiatives.

About the Role

The Data Engineer will work within Graham's Enterprise Data Platform to build systems that extract, manage, and convert raw data into usable information for Data Scientists and Data Visualization Analysts to use. As a member of this collaborative team, you can expect a safe, diverse, and inclusive environment, and ongoing learning and career development opportunities.

Key Responsibilities

  • Contribute to the design, development, and management of data infrastructure on Graham's Enterprise Data Platform (Databricks) within an Azure cloud environment.
  • Create comprehensive technical, functional, and operational documentation for data pipelines and applications.
  • Work effectively within an Agile Scrum environment (Azure DevOps), participating in all scrum practices, including planning, demos, and retrospectives.
  • Utilize business requirements to drive the design of data solutions, applications, and technical architecture.
  • Collaborate with team members to ensure data products meet performance, security, and analytics goals.
  • Proactively identify, track, and resolve issues and risks affecting project delivery.
  • Ensure reliability, scalability, quality, and efficiency of data pipelines, storage, processing, and integration within the data engineering framework.
  • Provide application and technical support as needed.
  • Maintain technical and industry knowledge and skills through continuous learning activities.
  • Mentor and develop junior engineers to build team capability and expertise.
  • Demonstrate HSE and Quality behaviors that reflect corporate expectations of Actively Caring and Road to Zero.

Qualifications/Experience

  • 3-5 years of experience in a related BI or Software Development role with experience in Data Engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions.
  • Bachelor's degree (or equivalent) in Computer Science, Information Technology, Engineering, or related discipline.
  • Certifications in Databricks, Azure, PowerBi are an asset.
  • Understanding of data warehousing concepts (Dimensional (star-schema), SCD2, Data Vault, Denormalized, OBT) implementing highly performant data ingestion pipelines from multiple sources.
  • Deep level of skills with Python, PySpark, and SQL.
  • Experience in developing and nurturing a Data Engineering framework to include package and dependency management tools e.g., automation tools for functional testing, and load testing.
  • Experience ingesting various types of data sources (e.g. ERPs and other 3rd party apps, SQL Server, APIs, Sharepoint).
  • Experience working with SAP data is an asset.
  • Experience integrating the end-to-end Databricks pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained.
  • Understanding of Data Management principles (quality, governance, security, privacy, life cycle management, cataloguing).
  • Working within an Agile delivery and DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
  • Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT).
  • Experience developing batch and streaming data pipelines.

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