Data Entry Engineer

Frugal Testing; Hyderabad; On-site; INR 300,000 - 420,000; Full time

Benefits offered by this job

Stability agreement (18 months)

Job summary

Frugal Testing in Hyderabad, India, seeks a detail-oriented Data Entry Engineer with 1–3 years of experience to extract, process, clean, and manage critical datasets across systems. You will perform data ripping from web pages, PDFs, and unformatted sources, and leverage AI tools for data cleaning and transformation.

The role requires strong MS Excel/Google Sheets skills, attention to detail, and good written English. You will work on Saturdays as needed to meet project timelines.

Qualifications

• Bachelor’s degree in CS/IT or related field.
• 1–3 years of data entry, extraction, or data processing experience.
• Proficiency in MS Excel/Google Sheets with advanced formulas.
• Experience with AI tools for data transformation.

Responsibilities

• Data ripping and extraction from web pages, PDFs, and unstructured files.
• Input data into databases and management systems within deadlines.
• Verify, clean, and sanitize large datasets for accuracy.
• Apply AI-assisted workflows to reformat and standardize data.
• Research missing data points through web searches.
• Ensure compliance with privacy and security policies.
• Willingness to work on Saturdays when required.

Skills

Data ripping

AI tooling

Advanced Excel/GS

Attention to detail

Written English

Education

Bachelor’s degree in CS/IT or related field

Tools

MS Excel

Google Sheets

Database management tools

Job description

• We are looking for candidates who can join immediately or within 15 days
• There is a stability agreement of 18 months.

Job Overview

We are seeking a detail-oriented Data Entry Engineer with 1 to 3 years of experience to extract, process, clean, and manage critical business and customer datasets. In this role, you will perform data ripping (extracting structured data from web pages, PDFs, and unformatted source documents), leverage generative AI tools for data cleaning, and ensure high data integrity across systems.

• Hands-on technical capability with data tools, automation software, and modern scraping/extraction technologies.
• Strong awareness of current software industry trends, modern data processing workflows, and generative AI tools.

Roles and responsibilities:

• Data Ripping & Extraction: Pull, rip, and extract data from various web sources, digital PDFs, APIs, and unstructured files into clean, structured formats.
• Data Processing & Entry: Input and integrate customer, account, and operational data into target databases and management systems within specified timeframes.
• Data Verification & Sanitization: Review raw datasets for missing entries, duplicates, or formatting errors; correct inconsistencies to guarantee high data quality.
• AI-Assisted Workflows: Leverage AI tools (e.g., ChatGPT, Claude) to reformat, clean, transform, and standardize complex or unorganized text and datasets.
• Research & Data Enrichment: Investigate incomplete records by cross-referencing internal files or performing web searches to fill missing data points.
• Compliance & Security: Maintain strict adherence to organizational data privacy, confidentiality, and security policies.
• Schedule Flexibility: Willingness and availability to work on Saturdays based on project timelines and business needs.

Requirements:

• Experience: 1 to 3 years of proven experience as a Data Entry Engineer, Data Extraction Specialist, or Data Processing Associate.
• Education: Bachelor’s degree in Computer Science, Information Technology, Business, or a related field.
• Technical Proficiency: Strong skills in MS Excel/Google Sheets (advanced formulas, data validation, VLOOKUP/XLOOKUP) and database management tools.
• AI Tooling: Fundamental understanding of using AI models (e.g., ChatGPT) for data transformation, parsing, and text reformatting.
• Attention to Detail: Exceptional accuracy and thoroughness in verifying, spotting anomalies, and cleaning large datasets.
• Communication Skills: Strong command of written English, including grammar, spelling, and document formatting.