Infrastructure & Capital Projects - Data Engineer, COM at Accenture
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

09 Dec, 25

Salary

0.0

Posted On

10 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description
  • (Internal Title: Business System Configuration/Development II)
  • Experienced Data Engineer to support a high-impact executive reporting initiative for a major capital infrastructure owner
  • This role will work as part of a multi-disciplinary team integrating data from EPC contractor systems (e.g., Oracle Primavera P6, Deltek Cobra, EcoSys) into the client’s Snowflake data platform, enabling interactive executive dashboards in Power BI
  • This role focuses on data ingestion, transformation, modeling, and automation — working closely with business analysts, Power BI developers, and the client’s IT team
  • Design, build, and maintain data ingestion pipelines using Snowflake (e.g., Snowpipe, COPY INTO) to ingest files delivered from EPC partners (e.g., via SharePoint or API)
  • Develop and optimize SQL-based transformations and data models to support reporting KPIs across engineering, procurement, construction, and commissioning
  • Implement and manage data validation routines to ensure data quality, completeness, and conformance to business rules
  • Collaborate with Business Analysts, the Data Architect, and Power BI Developers to translate KPI definitions into technical data logic
  • Work with EPC contractor data extracts in various formats (CSV, Excel, JSON), and normalize these into structured Snowflake tables
  • Monitor daily/weekly data jobs and work with the team to troubleshoot and resolve ingestion issues
  • Participate in technical design discussions and contribute to project timelines and documentation
  • Experience:
  • 5+ years of experience as a Data Engineer or similar role.
  • Advanced-level SQL with proven experience in Snowflake-specific SQL syntax, functions, and query optimization
  • Experience ingesting structured files using Snowpipe, COPY INTO, External Tables, or similar mechanisms
  • Strong understanding of Snowflake architecture, including Virtual Warehouses, Storage/Compute separation, Micro-partitioning, and Time Travel
  • Experience with data modeling best practices (star schema, SCDs, conformed dimensions) in Snowflake
  • Hands-on experience building ETL/ELT workflows with dbt, Azure Data Factory, or custom SQL jobs targeting Snowflake
  • Comfort working with stakeholders across technical and business teams to clarify logic and validate outputs
  • Experience with JIRA, Git, and collaborative development practices
  • Education:
  • Bachelor’s degree in Computer Engineering, Data Science, or related discipline; Master’s degree preferred
  • CSM, ITIL V4, and certifications in tools like Microsoft SQL Server, Power BI, Microsoft Fabric, Azure, or GCP
  • Nice to Have:
  • Exposure to Project Management Information Systems like Oracle Primavera P6, Deltek Cobra, EcoSys, etc.
  • Snowflake certifications such as SnowPro Core, SnowPro Advanced: Data Engineer, or other Snowflake specialty certifications or performance optimization badges are a strong asset
  • Experience supporting Power BI projects or building models that feed enterprise dashboards
  • Familiarity with SharePoint-based data delivery or M365 ecosystems
  • Understanding of capital project controls, scheduling, procurement, or commissioning

How To Apply:

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Responsibilities

Please refer the Job description for details

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