Data Engineer

JOB DETAILS

Job Title: Data Engineer

Location: Remote

Reports To: Director of Business Intelligence

Work Shift : EST

Working Hours: 40 hours per week (Full-time)

Job Description:

We are seeking a skilled and detail-oriented Data Engineer to join our growing BI team. You will be

responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable data-driven decision-making across the organization. This role is pivotal in ensuring data quality, accessibility, and reliability for analytics, reporting, and machine learning initiatives.

Key Responsibilities:

• Build, maintain, and monitor data pipelines within Microsoft Fabric.
• Support data integration from Oracle, Salesforce, TELUS TPM, NIQ, and MSAi data sources.
• Validate, cleanse, and reconcile data across multiple systems.
• Identify and investigate data quality issues.
• Support enterprise data governance and documentation efforts.
• Prepare and optimize datasets for Power BI reporting and analytics.
• Assist with semantic models, data models, and reporting infrastructure.
• Partner with BI Analysts to meet business reporting requirements.
• Recommend opportunities to enhance data reliability and performance.
• Document data pipelines, integrations, and technical processes.
• Collaborate with business and technical teams to support analytics initiatives.
• Participate in testing and deployment of new data solutions.

Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, or related field.
• 1–3 years of experience in data engineering or similar role.
• Proficiency in SQL, Python, and data pipeline frameworks.
• Experience with cloud platforms (Microsoft Fabric Suite, Azure, Salesforce CRM, Oracle ERP)
• Strong understanding of data modeling, schema design, and normalization.
• Excellent problem-solving and communication skills.

Preferred Skills:

• Certifications in Microsoft Fabric, Azure, Salesforce or related technologies.
• Experience with Oracle ERP and Oracle Business Analytics.
• Background in CPG industry data workflows.

What We Offer:

• Competitive salary and performance bonus opportunities.
• Professional development and training opportunities.
• Access to cutting-edge BI tools and platforms.