2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
7.50 LPA TO 8.00 LPA
Job Profile:
Will work in close partnership with cross-functional teams across the organization (including Supply Chain, Sales & Marketing, Manufacturing, R&D and Finance) to enhance the master data process, governance and quality.
Collaboration is key! This position improves processes and governance to ensure data integrity, data standards, and change management. Continuous and ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
2.40 LPA TO 3.00 LPA
To write an effective SAP HANA job description, begin by listing detailed duties, responsibilities and expectations. We have included SAP HANA job description templates that you can modify and use.
Sample responsibilities for this position include:
Contribute to design of data models and data structures
Participate to all the project phases (Functional Specification, ...
1 Opening(s)
8.0 Year(s) To 13.0 Year(s)
20.00 LPA TO 35.00 LPA
A Day in the Life
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient and scalable data solutions.
Design and develop end-to-end data pipelines encompassing data ingestion, transformation, storage, and delivery.
Utilize strong programming skills in Python to write clean, maintainable, and optimized code ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
4.00 LPA TO 5.00 LPA
Overview:
As the Management Information Systems (MIS) Executive in our manufacturing industry, you will be responsible for managing and optimizing the flow of information and data within the organization. Your role will involve developing and maintaining databases, generating reports, analyzing data, and providing insights to support decision-making and improve operational ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
16.00 LPA TO 22.00 LPA
Your primary responsibility will be to develop, optimize, and maintain Power BI solutions that support data-driven decision-making across the organization.
In this role, you will be expected to work closely with business representatives to capture requirements and translate them into scalable and efficient BI solutions. A strong understanding of backend data structures is essential, and experience with full-stack development is ...