Data Engineer – Fabric

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform that unifies payroll, HR, workforce management, time and attendance, benefits, and talent management into a single application. Delivered as a software-as-a-service solution, Dayforce is used by employers to manage the employee lifecycle, payroll processing, scheduling, and regulatory compliance across locations.

📋 Description

• Collaborate with cross-functional teams to understand data and analytical requirements and translate them into effective Microsoft Fabric–based data solutions. • Design, develop and maintain end-to-end data ingestion and transformation processes using Microsoft Fabric Data Pipelines, Dataflows Gen2, and Notebooks. • Format, cleanse, and store data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture • Work closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads. • Create comprehensive developer documentation for data pipelines, processes, and solutions. • Participate in data governance activities to ensure data integrity, security, and compliance. • Utilize source control to manage and track changes to data pipelines and codebase. • Provide level II/III support to troubleshoot and resolve data-related issues and inquiries. • Provide ancillary support for Machine learning (ML) and Artificial Intelligence (AI) processes • Stay updated with industry trends and best practices related to data warehousing, ETL, and data engineering.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field • 3+ years experience data engineering, ETL development, and data warehousing. • Experience with Microsoft Fabric, including OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and/or Notebooks. • Understanding of lakehouse architectures, data modeling, and modern analytics patterns. • Experience with data governance, data quality, and data security frameworks and standards. • Experience in Continuous Integration/Continuous Delivery (“CI/CD”). • Expertise in integrating Fabric solutions with Power BI, Azure services, and external data sources. • Expertise in developing data pipelines to support Machine Learning (ML) and / or Artificial Intelligence (AI) tools is a plus • Excellent verbal and written communication skills, presentation, problem-solving skills and attention to detail. • Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes. • Ability to work independently and collaboratively with colleagues and staff to create a high-quality results-driven, team-oriented fast paced environment. • Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality. • Willingness and ability to work flexible hours. • Proficient in MS Office (including Excel, Outlook, PowerPoint, Visio, & Word), modern communication tools for virtual teams (i.e., MS Teams)