Data Scientist (India)

Data Scientist (India)

31 Oct
|
HCLTech
|
India

31 Oct

HCLTech

India

Job Summary

- Should have experience with the data analytics, data modeling or data architecture and database design.
- Proven ability to design and implement scalable, effective and robust data models for various business functions
- Solid understanding of the JSON structures and physical data modeling using JSON
- Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
- Familiar with data governance and data quality best practices would be advantageous
- Create conceptual, logical and physical data models to meet the business requirements
- Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives
- Develop and maintain comprehensive documentation for the data models including metadata and data lineage
- Having a good understanding of No SQL database would be a plus
- Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
- Translate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.
- Conduct business process analysis and identify opportunities for process improvement and automation.
- Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
- Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
- Analyze data, systems, APIs, and integrations to support solution design and decision-making.
- Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

Key Responsibilities

- Should have experience with the data analytics, data modeling or data architecture and database design.
- Proven ability to design and implement scalable, efficient and robust data models for various business functions
- Solid understanding of the JSON structures and physical data modeling using JSON
- Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
- Familiar with data governance and data quality best practices would be advantageous
- Create conceptual, logical and physical data models to meet the business requirements
- Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives




- Develop and maintain comprehensive documentation for the data models including metadata and data lineage
- Having a good understanding of No SQL database would be a plus
- Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
- Translate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.
- Conduct business process analysis and identify opportunities for process improvement and automation.
- Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
- Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
- Analyze data, systems, APIs, and integrations to support solution design and decision-making.
- Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

Skill Requirements

- Should have experience with the data analytics, data modeling or data architecture and database design.
- Proven ability to design and implement scalable, efficient and robust data models for various business functions
- Solid understanding of the JSON structures and physical data modeling using JSON
- Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
- Familiar with data governance and data quality best practices would be advantageous
- Create conceptual, logical and physical data models to meet the business requirements
- Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives
- Develop and maintain comprehensive documentation for the data models including metadata and data lineage
- Having a good understanding of No SQL database would be a plus
- Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
- Translate business needs into detailed functional and non-functional requirements, user stories,



and acceptance criteria.
- Conduct business process analysis and identify opportunities for process improvement and automation.
- Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
- Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
- Analyze data, systems, APIs, and integrations to support solution design and decision-making.
- Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

Must Have Skill

Business Analysis,Data Modelling

Good to Have Skill

Other Requirements

- Should have experience with the data analytics, data modeling or data architecture and database design.
- Proven ability to design and implement scalable, efficient and robust data models for various business functions
- Solid understanding of the JSON structures and physical data modeling using JSON
- Proficient in creating ER diagrams and implementing data models suitable for the organization and tribe
- Familiar with data governance and data quality best practices would be advantageous
- Create conceptual, logical and physical data models to meet the business requirements
- Provide necessary support to the development and testing teams during the build and testing for the data-related projects and initiatives
- Develop and maintain comprehensive documentation for the data models including metadata and data lineage
- Having a good understanding of No SQL database would be a plus
- Collaborate with business stakeholders, product owners, architects, and engineering teams to elicit, analyze, and document business and technical requirements.
- Translate business needs into detailed functional and non-functional requirements, user stories, and acceptance criteria.
- Conduct business process analysis and identify opportunities for process improvement and automation.
- Create and maintain process flows, data models, interface specifications, and requirements traceability matrices.
- Work closely with solution architects and development teams to ensure proposed solutions align with business objectives and enterprise architecture standards.
- Analyze data, systems, APIs, and integrations to support solution design and decision-making.
- Ensure delivered solutions meet business requirements, regulatory obligations, security standards, and operational needs.

📌 Data Scientist (India)
🏢 HCLTech
📍 India

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