Data Scientist

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.