5 - 10 years

5 - 9 Lacs

Hyderabad

Work from Office

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Sustainability Footprint Management SFM Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary : We are looking for a highly skilled and detail-oriented SAP Sustainability Footprint Manager to oversee the implementation and management of SAP tools and solutions that track and reduce the company's environmental footprint. The ideal candidate will be responsible for leveraging SAP software to monitor and manage sustainability data, including carbon emissions, energy usage, water consumption, and waste. You will work closely with the IT department, sustainability team, and business units to integrate SAP sustainability solutions that align with our corporate sustainability goals. Roles & Responsibilities: Implement, configure, and manage SAP solutions (e.g., SAP Environment, Health, and Safety (EH&S), SAP S/4HANA Sustainability, SAP Green Ledger, etc.) to track and manage the company's sustainability footprint. Lead the setup and integration of SAP systems for carbon footprint calculation, energy tracking, waste management, and other sustainability metrics. Ensure data integrity and accuracy across sustainability systems integrated into SAP platforms. Configure SAP sustainability modules to collect and report data related to carbon emissions, energy use, water usage, waste, and other key environmental metrics. Prepare and deliver sustainability reports leveraging SAP tools to meet internal and external reporting requirements (e.g., GHG emissions reports, sustainability disclosures). Coordinate the extraction, validation, and analysis of data from SAP to provide insights into sustainability performanceWork with internal IT teams and external vendors to ensure SAP solutions are integrated with other business systems (e.g., procurement, supply chain, and production) for accurate sustainability data. Customize SAP systems to align with evolving sustainability reporting frameworks and environmental regulations. Sustainability Strategy Alignment:Collaborate with the sustainability team to align SAP sustainability solutions with corporate sustainability goals, including carbon reduction targets, resource optimization, and waste reduction initiatives Professional & Technical Skills: Proven experience with SAP configurations, integration, and customization for sustainability solutions. Strong understanding of sustainability reporting frameworks, including GHG Protocol, CDP, and GRI. Experience with data management, analysis, and reporting for sustainability metrics. Ability to communicate complex technical information to non-technical stakeholders. Strong project management skills, with experience leading cross-functional teams Additional Information: SAP certifications (e.g., SAP Certified Application Associate – SAP S/4HANA for Sustainability). Sustainability certifications such as LEED, ISO 14001, or GHG Protocol. Minimum 15years of regular education Qualification 15 years full time education

Posted 1 month ago

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Exploring Data Validation Jobs in India

India is experiencing a surge in demand for data validation professionals as more and more companies recognize the importance of ensuring the accuracy and quality of their data. Data validation roles are crucial in maintaining data integrity and making informed business decisions based on reliable information.

Top Hiring Locations in India

Bangalore
Hyderabad
Mumbai
Pune
Chennai

Average Salary Range

The average salary range for data validation professionals in India varies from INR 3-5 lakhs per annum for entry-level positions to INR 8-12 lakhs per annum for experienced professionals.

Career Path

In the field of data validation, a typical career path may progress from Data Analyst to Data Quality Analyst to Data Validation Specialist. With experience and expertise, one can advance to roles such as Data Quality Manager or Business Intelligence Analyst.

Related Skills

In addition to data validation, professionals in this field are often expected to have skills in data analysis, SQL, data visualization tools like Tableau or Power BI, and programming languages like Python or R.

Interview Questions

What is data validation and why is it important? (basic)
Explain the difference between data validation and data verification. (medium)
How would you handle missing or incomplete data during the validation process? (medium)
What are some common data quality issues you have encountered and how did you address them? (medium)
Can you explain the process of outlier detection in a dataset? (medium)
What tools or software have you used for data validation in your previous roles? (basic)
How do you ensure data consistency across different databases or systems? (medium)
Describe a time when you had to work with a large dataset and how you ensured its accuracy. (medium)
What are some best practices for data validation in a production environment? (advanced)
How do you handle data security and privacy concerns during the validation process? (advanced)
Explain the difference between structured and unstructured data and how you validate each type. (medium)
How do you assess the quality of a dataset before starting the validation process? (medium)
What are some common data cleaning techniques you use before validation? (basic)
How do you deal with conflicting data from different sources during the validation process? (medium)
Can you discuss a challenging data validation project you worked on and how you overcame obstacles? (advanced)
What role does automation play in data validation and how have you utilized it in your work? (medium)
How do you ensure data integrity and accuracy over time in a continuously updating dataset? (advanced)
Explain the concept of data profiling and how it is used in data validation. (medium)
What are some key metrics or KPIs you use to measure the success of a data validation process? (medium)
How do you communicate data quality issues and recommendations to stakeholders or decision-makers? (basic)
Describe a situation where you had to prioritize data validation tasks and how you managed your time effectively. (medium)
What are some challenges you have faced in ensuring data quality and how did you address them? (medium)
How do you stay updated on the latest trends and technologies in data validation? (basic)
Can you provide examples of data validation tests you have developed and executed in previous projects? (medium)

Closing Remark

As you explore opportunities in the data validation field in India, remember to showcase your expertise in ensuring data accuracy and quality. Prepare for interviews by familiarizing yourself with common data validation challenges and best practices. With the right skills and knowledge, you can excel in this dynamic and in-demand career path. Good luck in your job search!

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