Senior Data Quality Engineer (Hyderabad-based)

DataArt; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Vacation policy

Health insurance

Pleasant environment

Comfort service

Job summary

DataArt in Hyderabad, India, is seeking a Data Quality Engineer with hands‑on experience implementing and validating data quality. You will design and run tests, check data as it moves from source systems into analytical datasets, and help correct that data.

This position is intended for Hyderabad‑based candidates who are available to work from the office. You will use SQL, Snowflake, PostgreSQL, ETL tools, and AI‑assisted development tools to analyze data and author quality checks, with

Qualifications

• Hands-on experience validating large datasets and data pipelines.
• Strong SQL and data-modeling knowledge, including downstream impact assessment.
• Experience with Python and Pandas for data processing and quality analysis.
• Familiarity with Snowflake, PostgreSQL, and ETL tools.

Responsibilities

• Design, implement, and execute data quality test cases and report metrics.
• Apply data quality checks on large datasets and assist with data fixes.
• Validate data pipelines end-to-end across source and analytical systems.
• Use data models and contracts to assess downstream impact and guide quality coverage.
• Use SQL, Snowflake, PostgreSQL, ETL tools, and AI-assisted development tools to analyze data and author quality checks.
• Integrate quality checks with CI, using Git, and collaborate across groups to resolve data quality issues.
• Provide quality evidence, risks, and readiness input for releases.

Skills

SQL

Snowflake

PostgreSQL

ETL testing

Data quality checks

Python & Pandas

CI integration

English communication

Tools

Git

Jenkins

TeamCity

Job description

India

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Technology stack

SQL, Snowflake, PostgreSQL, extract-transform-load (ETL) flows, logical and physical data models, data quality checks and quality metrics, CI platforms (TeamCity, Jenkins, or equivalent), Git, AI-assisted development tools (Cursor, GitHub Copilot, or equivalent), including agents

Client

Our client is a global organization focused on professional education and certification.

Project overview

Our client runs a large application landscape and the analytical datasets behind it. Quality for that data is part of delivery: test design, quality metrics, checks on data as it moves from source systems into analytical datasets, and practical help when data has to be corrected. The Data Quality Engineer owns that hands‑on work. The role covers test design and execution, integrity checks, quality reporting, and support for data remediation, in partnership with the groups that produce and consume the data.

Position overview

We are looking for a Data Quality Engineer with hands‑on experience implementing and validating data quality. You will design and run tests, check data as it moves from source systems into analytical datasets, and help correct that data. This position is intended for Hyderabad‑based candidates who are available to work from the office.

Responsibilities

• Design, implement, and execute data quality test cases, and report metrics that other groups can use.
• Apply data quality checks on large datasets and assist with data fixes.
• Validate data pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance.
• Use data models and contracts to assess downstream impact and guide quality coverage.
• Use SQL, Snowflake, PostgreSQL, ETL tools, and AI-assisted development tools to analyze data and author reviewed quality checks.
• Integrate quality checks with CI, using version control such as Git, and work across groups to investigate and resolve data quality issues.
• Provide quality evidence, risks, and readiness input for releases.

Requirements

• Risk-based testing methods and experience reporting meaningful quality metrics.
• Hands‑on experience validating large datasets and data pipelines, including diagnosing and remediating quality issues.
• Strong SQL and data-modeling knowledge, including assessing the downstream impact of schema and data-contract changes.
• Experience validating data movement, transformation, completeness, history, freshness, and compliance across source and analytical systems.
• Experience with Python and Pandas for data processing and quality analysis.
• Experience with Snowflake, PostgreSQL, and ETL tools or equivalent data platforms.
• Experience with data regulations (GxP).
• Experience using AI‑assisted tools and agents to analyze requirements and author SQL and quality checks, with human review of generated output.
• Experience integrating quality checks with CI and working with version control such as Git.
• Experience collaborating effectively in English across engineering and business groups, and providing quality evidence, risks, and readiness input for releases.

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We offer

Vacation

As per the laws of your country. We do ask you to take a proper rest

Health insurance

We help you to take out an insurance policy for you and your loved ones

According to the official calendar, regardless of the client’s schedule

Pleasant environment

Two large corporate parties and many small get‑togethers for colleagues

Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract

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The Education Platform supports a large application landscape and the analytical datasets behind it. The project focuses on data quality across source systems and analytical datasets through test design, quality metrics, integrity checks, and practical support for data correction.

FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top‑tier courses and learning platforms. View current openings and take the next step with us.

What does DataArt do, and which industries does it serve?

DataArt is a global