Data Scientist

HCLTech · United States

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Job Summary

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.

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.

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.

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