Senior Engineer, IT

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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 offering integrated payroll, HR, benefits administration, workforce management, and talent management capabilities. It is designed for employers to manage the full employee lifecycle in a single SaaS application, with features for payroll processing, time and attendance, scheduling, recruiting, and performance management.

📋 Description

• Lead moderately complex projects from technical design through completion. • Act as an on-call SME resource to manage admin failure and messaging events. • Test and execute pre-defined ETL processes on standard data sets. • Assist the research, troubleshooting, and resolution of data issues impacting extract delivery. • Understand requirements regarding solutions, ensure data quality and match-back to core systems transaction results. • Perform data validation, unit testing and troubleshooting for data model usability. • Support data architecture development and optimizes data pipelines to store, integrate and process high-volume data sets. • Perform code reviews for others in project. • Collaborate with Data Scientists to ensure architectural and project specification needs are being met. • Conduct necessary data transformations to populate data into a warehouse table structure that is optimized for reporting. • Isolate and define core reusable data assets that support the long-term business strategy for development efforts. • Review data analysis and data mapping logic. • Identify recurring causes for defects and works proactively to resolve issues. • Review fixes with MDM/ Data Governance teams. • Identify methods for collecting data and perform data analyses. • Communicate analytical findings, including through reports, briefings, presentations, and data visualization.

🎯 Requirements

• Employer will accept a Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering or related field and 72 months of experience in experience in the job offered or in a related occupation. • Python • Azure Cloud Platform services for data processing such as Databricks or Data Factory • CICD pipelines built on Azure DevOps • Building Integration with SAP systems such as BODS or HANA • SAP HANA data objects and underlying data models • Data architectures involving Delta Lake, Lakehouse, data warehouse, and ODS • Data modeling tools such as ER or Studio Data Architect • PySpark and SQL for data processing, analysis and data engineering • Kafka • ETL Development using SSIS, Informatica • Linux shell scripting and Powershell • Master Data Management and Data Governance • Data Visualization and Reporting