Data Enrichment Specialist

DataXWorks; Chennai District; Hybrid; INR 450,000 - 650,000; Full time

Job summary

DataXWorks in Chennai/Remote is seeking a Data Enrichment Specialist to support enterprise data enrichment, metadata improvement, taxonomy alignment, and structured dataset preparation. The role involves improving raw data by adding missing attributes, validating information, standardizing records, and making datasets more useful for analytics, AI, marketing, and business operations.

You will enrich datasets, add and validate metadata, identify gaps, and ensure data quality in collaboration with

Qualifications

• 2+ years of experience in data enrichment, data research, data cleansing, catalog operations, or data operations.
• Strong attention to detail and research ability.
• Ability to work with structured datasets, spreadsheets, and classification rules.
• Familiarity with metadata, taxonomy, entity resolution, or data standardization is preferred.
• Good communication and documentation skills.
• Experience in retail, eCommerce, B2B data, BFSI, or healthcare datasets is a plus.

Responsibilities

• Enrich business, product, customer, catalog, document, or domain-specific datasets.
• Add, validate, and standardize metadata, tags, attributes, categories, and classifications.
• Identify missing, duplicate, incomplete, or inconsistent records.
• Support entity resolution, taxonomy alignment, and data normalization workflows.
• Validate enriched data against source references and project guidelines.
• Work with data operations and QA teams to improve dataset quality.
• Maintain documentation of enrichment rules, assumptions, and quality issues.

Skills

Data enrichment

Data research

Data cleansing

Catalog operations

Data operations

Structured data

Metadata

Taxonomy

Entity resolution

Documentation

Job description

Location: Chennai / Remote

Experience: 3-6 Years

Employment Type: Full-Time

Role Summary

DataXWorks is hiring a Data Enrichment Specialist to support enterprise data enrichment, metadata improvement, taxonomy alignment, and structured dataset preparation. The role involves improving raw data by adding missing attributes, validating information, standardizing records, and making datasets more useful for analytics, AI, marketing, and business operations.

Key Responsibilities

• Enrich business, product, customer, catalog, document, or domain-specific datasets.
• Add, validate, and standardize metadata, tags, attributes, categories, and classifications.
• Identify missing, duplicate, incomplete, or inconsistent records.
• Support entity resolution, taxonomy alignment, and data normalization workflows.
• Validate enriched data against source references and project guidelines.
• Work with data operations and QA teams to improve dataset quality.
• Maintain documentation of enrichment rules, assumptions, and quality issues.

Required Skills & Experience

• 2+ years of experience in data enrichment, data research, data cleansing, catalog operations, or data operations.
• Strong attention to detail and research ability.
• Ability to work with structured datasets, spreadsheets, and classification rules.
• Familiarity with metadata, taxonomy, entity resolution, or data standardization is preferred.
• Good communication and documentation skills.
• Experience in retail, eCommerce, B2B data, BFSI, or healthcare datasets is a plus.

Why Join DataXWorks

You will help enterprises turn raw, incomplete, and fragmented data into structured, usable, AI-ready datasets.