AI Data Engineer

Aditi Consulting is seeking an AI Data Engineer to transform complex data into actionable insights that enhance operational performance and decision-making. The role involves analyzing datasets, ensuring data quality, automating processes, and developing reporting tools to provide visibility into business outcomes.

Responsibilities:

• Partner with engineering, operations, program management, and leadership teams to understand objectives, define data requirements, and develop reporting and analytics solutions that drive informed decision-making
• Analyze large and complex datasets to identify trends, anomalies, gaps, risks, and opportunities for operational improvement
• Perform data quality assessments, validation, and verification activities to ensure data accuracy, completeness, consistency, and integrity across multiple sources and systems
• Design, implement, automate, and maintain scalable data collection, transformation, and validation processes that reduce manual effort and improve reliability
• Develop and maintain dashboards, scorecards, KPI reporting, and self-service analytics solutions that provide visibility into operational performance, telemetry health, program status, and business outcomes
• Create data validation frameworks, monitoring processes, and quality controls to proactively detect and resolve data issues
• Collaborate with technical teams to improve data models, metadata management, reporting structures, and overall data governance practices
• Translate complex technical findings into clear, actionable insights and recommendations tailored for both technical and executive audiences
• Drive continuous improvement through automation, standardization, and implementation of scalable reporting and analytics solutions
• Support root cause analysis and investigative efforts by leveraging data to identify underlying drivers of performance issues and operational risks
• Document processes, methodologies, reporting requirements, and data quality standards to ensure consistency and scalability

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
• 5-7 years applicable experience required
• Experience designing and implementing data quality validation, verification, and monitoring processes
• Strong troubleshooting, problem-solving, analytical thinking, and investigative skills
• Experience in business intelligence, reporting, data quality management, or related analytical disciplines
• Experience developing dashboards and visualizations using business intelligence tools such as Power BI, Tableau, or similar platforms
• Experience automating manual processes using scripting, workflow automation, or data integration technologies
• Solid written and verbal communication skills with the ability to communicate complex findings to diverse audiences
• Demonstrated success delivering scalable solutions that improve efficiency, data accuracy, and operational visibility
• Experience with telemetry, operational, engineering, IoT, industrial controls, or critical infrastructure data
• Experience implementing automated data validation and exception management processes
• Experience developing executive-level dashboards and KPI scorecards