Data Scientist
India
Job Description
Data Scientist
Bengaluru, Karnataka

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.
Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.