Sr Data Engineering Consultant

Primary Responsibilities:

• Analyze and segment large datasets related to IT asset lifecycle, ensuring accuracy and relevance

• Design and implement data models that capture relationships between upstream and downstream systems

• Collaborate with upstream and downstream application teams to understand data dependencies and integration points

• Identify trends, anomalies, and opportunities for process improvement across the asset lifecycle

• Ensure data governance, quality, and compliance standards are maintained throughout analysis

• Support strategic initiatives by providing predictive and prescriptive analytics

• Builder Responsibilities:

• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

Impact of the Role

This position plays a critical role in enabling data-driven decisions across ITAM processes, ensuring seamless integration between systems and improving operational efficiency

Required Qualifications:

• Experience 10+ years in Data Engineering or Data Analytics
• Experience with automation and scripting for data extraction and transformation
• Experience working with large, complex datasets and multiple data sources
• Background in data governance and compliance frameworks
• Knowledge of ITAM tools and platforms (e.g., ServiceNow, Flexera, or similar)
• Understanding of IT Asset Management processes and lifecycle concepts
• Familiarity with upstream/downstream system integrations and data flows
• Solid proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, or similar)
• Proven excellent problem-solving skills and ability to translate data into actionable insights
• Proven solid communication skills to convey technical findings to non-technical stakeholders

Preferred Qualifications:

• Graduate of Data Engineering or data analytics
• Exposure to AI as User OR Builder