Data Transformation and Management Specialist
Cummins India Limited · Pune · onsite · Posted 53d ago
Not disclosed4–6 yrsfulltimeSourced from
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About this role
The Data Transformation and Management Specialist is responsible for designing, developing, and maintaining scalable data solutions that enable efficient 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
Technical Skills
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Exempt - Experienced
ReqID 2434497
Relocation Package No
100% On-Site No
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 compliance across reporting, analytics, and enterprise data solutions.
- Collaborate with data scientists, software engineers, business analysts, and functional stakeholders to understand data requirements and deliver business solutions.
- Develop and maintain documentation for data architecture, ETL processes, data models, and system configurations.
- Support the development of repeatable analytics and reporting solutions using enterprise business systems and Business Intelligence tools.
- Minimum 4 years of experience in Data Engineering, Data Integration, Data Management, or a related field.
- Experience developing and maintaining enterprise-scale ETL/ELT pipelines.
- Experience working with cloud-based data platforms, preferably Microsoft Azure.
- Experience designing, optimizing, and managing relational databases.
- Experience supporting analytics, reporting, and business intelligence solutions.
- Experience working with supply chain, manufacturing, or enterprise business data is preferred.
- Experience collaborating with cross-functional teams in Agile or project-based environments.
- Experience with data quality, monitoring, troubleshooting, and performance optimization.
- Exposure to AI/ML data preparation and cloud analytics platforms is an advantage.
Technical Skills
- Microsoft Azure (Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database)
- ETL/ELT development using Databricks PySpark and Matillion
- Relational Databases: Oracle, SQL Server, PostgreSQL, Snowflake
- Data Engineering and Data Pipeline Development
- Database Design and Performance Optimization
- Data Transformation, Data Cleansing, and Data Quality Management
- SQL and Advanced Query Optimization
- Cloud Data Architecture and Data Integration
- Business Intelligence and Reporting
- Supply Chain Analytics and KPI Reporting
- Inventory Optimization and Material Planning Analytics
- Documentation and Technical Process Management
- Power BI
- Python
- Scala
- Streamlit
- AI/ML concepts using Databricks or Snowflake
- Neo4j / Graph Database
- Advanced analytics and visualization tools
- Communicates effectively with technical and business stakeholders.
- Drives results while managing competing priorities and deadlines.
- Demonstrates a global perspective and supports enterprise-wide solutions.
- Solves complex business and technical problems using analytical thinking.
- Optimizes work processes through automation and continuous improvement.
- Applies strong analytical and troubleshooting skills to data and supply chain challenges.
- Supports inventory management, material planning, and supply chain optimization through data-driven decision making.
- Manages and interprets KPIs to identify business improvement opportunities.
- Values diverse perspectives and collaborates effectively across global teams.
- Maintains a strong focus on data accuracy, governance, and operational excellence.
- College, university, or equivalent Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, Engineering, or a related discipline required.
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Exempt - Experienced
ReqID 2434497
Relocation Package No
100% On-Site No
Sourced from foundit
Skills
SQL and advanced query optimizationData CleansingCloud Data Architecture and Data IntegrationDatabase Design and Performance OptimizationData Engineering and Data Pipeline DevelopmentDocumentation and Technical Process ManagementETL ELT development using DatabricksInventory Optimization and Material Planning AnalyticsSupply Chain Analytics and KPI ReportingPostgresqlAzure Data Lake storageMatillionrelational databasesAzure SQL Databasedata transformationData Quality ManagementOracle DBPysparkAzure Data FactoryAzure DatabricksSnowflakeMicrosoft AzureSQL ServerBusiness Intelligence and Reporting
About Cummins
Cummins India Limited
Industrial Machinery
3.1k+
employees
1919
107 years old
Pune, Maharashtra
India
₹7.7L PA avg
Avg at Cummins
About
Cummins Inc., a global power solutions leader, comprises five business segments – Components, Engine, Distribution, Power Systems and Accelera by Cummins – supported by our global manufacturing and extensive service and support network, skilled workforce and vast technological expertise.Cummins is committed to its Destination Zero strategy, which is grounded in the company’s commitment to sustainability and helping its customers successfully navigate the energy transition with its broad portfolio of products. The products range from advanced diesel, natural gas, electric and hybrid powertrains and powertrain-related components including filtration, aftertreatment, turbochargers, fuel systems, valvetrain technologies, controls systems, air handling systems, automated transmissions, axles, drivelines, brakes, suspension systems, electric power generation systems, batteries, electrified power systems, hydrogen production technologies and fuel cell products.Headquartered in Columbus, Indiana (U.S.), since its founding in 1919, Cummins employs approximately 75,500 people committed to powering a more prosperous world through three global corporate responsibility priorities critical to healthy communities: education, environment and equality of opportunity.Cummins serves its customers online, through a network of company-owned and independent distributor locations, and through thousands of dealer locations worldwide and earned about $735 million on sales of $34.1 billion in 2023.
Industries
Industrial MachineryAutomobileManufacturingPower
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