The Data Transformation and Management Specialist is responsible for designing,
developing, and maintaining scalable data solutions that enable productive data
integration, transformation, and analytics across the organization. This role
combines data engineering expertise with supply chain analytics to support
business decision-making, improve operational performance, and drive continuous
improvement initiatives. The specialist ensures the integrity, availability, and
quality of enterprise data while collaborating with cross-functional teams to
deliver reliable data pipelines, reporting solutions, and cloud-based data
platforms.
Key Responsibilities
* Design, develop, and maintain scalable data pipelines to acquire, transform,
and load data from multiple enterprise systems using batch and real-time
processing methods.
* Build, optimize, and maintain ETL processes to ensure reliable, automated,
and efficient movement of data across systems.
* Develop and maintain database solutions, ensuring optimal performance,
scalability, and data availability.
* Clean, validate, transform,
and enrich raw data to improve quality,
consistency, and usability for reporting and analytics.
* Monitor data pipelines, databases, and cloud infrastructure to identify and
resolve performance issues, data quality concerns, and system bottlenecks.
* Utilize cloud technologies, particularly Microsoft Azure services, to manage
data storage, processing, and integration.
* Provide analytical support for supply chain and business functions through
data modeling, reporting, and KPI analysis.
* Analyze supply chain performance metrics to identify trends, root causes,
improvement opportunities, and actionable recommendations.
* Support inventory optimization, material planning, and planning parameter
refinement through data-driven insights.
* Participate in continuous improvement initiatives, including Six Sigma and
supply chain optimization projects.
* Ensure data integrity, governance, and complian
📌 Data Transformation and Management Specialist (Pune)
🏢 Cummins
📍 Pune