Remote Data qa Jobs – 279 Open Jobs Today

Data Engineer – QA
Technology Next —Remote
- ₹70,000 - ₹90,000 a month
- Full-time
- Remote
- Azure
- SQL
- AWS
Quick apply
14h
Data QA Associate
YipitData (Alternative) —Remote
- Remote
- Microsoft Excel
- Computer Science
- ERP systems
- Flexible schedule
Data QA Associate
YipitData —Remote
- Remote
- Microsoft Excel
- Computer Science
- ERP systems
- Paid time off
Data Analyst
Portcast —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
Quick apply
Data QA Specialist
YipitData (Alternative) —Remote
- Remote
- Microsoft Excel
- Computer Science
- ERP systems
- Flexible schedule
Quality Assurance (QA)
Citta Solutions —Remote
- Up to ₹35,000 a month
- Full-time
- Remote
- Computer Science
- Customer service
- Microsoft Office
Computer Science & IT Quality Assurance Lead (QAL)
SME Career —Remote
- Up to ₹1,500 an hour
- Part-time
- Remote
- Computer science
- Computer Science
- English
Quick apply
1d
Data Analyst Intern
Portcast —Remote
- Remote
- Computer Science
- English
- SQL
Quick apply
QA Lead / Quality Engineering Manager
upstream —Remote
- Full-time
- Remote
- Computer Science
- PMP
- DevOps
Quick apply
11d
QA Engineer
LakeFusion —Remote
- Full-time
- Remote
- Azure
- Master's degree
- SQL
QA- Test Engineer
Uvation —Remote
- Remote
- Azure
- Computer Science
- Software troubleshooting
Quick apply
QA Specialist
7N —Remote
- Remote
- Computer science
- DevOps
- Agile
SDE II - QA, (Fixed term Contract)
Jumio —Remote
- Email
- Remote
- Computer Science
- Software troubleshooting
- Java
Quick apply
QA Engineer
Augusta Hitech Soft Solutions —Remote
- Remote
- Azure
- DevOps
- SQL
Software QA Engineer
Salesfokuz —Remote
- Remote
- Programmable logic controllers
- APIs
- Agile
- Work from home
Data QA Associate (Finance)
YipitData (Alternative) —Remote
- Remote
- Microsoft Excel
- Computer Science
- ERP systems
- Flexible schedule
Electrical Engineer – Power System Studies
Revamp Engineering —Remote
- ₹16,75,000 - ₹27,16,000 a year
- Full-time
- Remote
- English
- Bachelor's degree
- Electrical Engineering
- Health insurance
Quick apply
SDET - I
Netomi —Remote
- Full-time
- Remote
- Computer Science
- Bachelor's degree
- Scripting
Quick apply
Empower Chromatography Data System (CDS) Administrator (Instruments Focus)
ITSoli India Pvt Ltd. —Remote
- Up to ₹25,00,000 a year
- Overnight shift
- Remote
- Software troubleshooting
- Laboratory experience
- Windows
- Work from home
Quick apply
Product Manager (Payroll/HR/Fintech Positions)
Worklio —Remote
- ₹20,000 - ₹40,000 a year
- Night shift
- Remote
- Azure
- DevOps
- Microsoft Office
Quick apply

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Data Engineer – QA

Technology Next -
Remote

Quick apply

Job details

Full-time | Contractual / Temporary
₹70,000 - ₹90,000 a month
14 hours ago

Qualifications

Power BI
Azure
Test automation
Microsoft SQL Server
SQL
AWS
SQL Server Management Studio
Rally (agile software)
Agile
S3
Communication skills
Python

Full job description

Data Engineer – QA

Experience: 5–6 Years

Employment Type: C2C

Location: Remote

Working Hours: 11:00 AM – 9:00 PM

Job Summary

We are looking for an experienced Data Engineer – QA with 5–6 years of experience in data validation, reconciliation, data testing, test automation, and large-scale data processing.

The ideal candidate should have strong hands-on experience with Python, SQL, PySpark, Azure Data Factory, Azure Synapse Analytics, Azure Storage, Azure Cosmos DB, AWS S3, and Power BI validation.

The role involves requirement analysis, business rule validation, source-to-target verification, automated validation framework development, data pipeline testing, production support, defect investigation, and stakeholder collaboration.

Key Responsibilities

QA & Solution Analysis

- Analyze requirements and clarify business/data requirements.

- Validate business rules and expected data processing logic.

- Prepare test plans and execute data validation scenarios.

- Investigate defects and perform Root Cause Analysis (RCA).

- Collaborate with stakeholders and delivery teams in an Agile environment.

- Perform comprehensive data validation and reconciliation.

Data Validation & Reconciliation

- Verify source-to-target mappings.

- Perform record count and data completeness analysis.

- Validate schemas, layouts, and column sequences.

- Verify invalid records and exception handling.

- Perform Production vs. Staging comparison.

- Validate source, intermediate, and output datasets.

- Analyze exception, rejected, and invalid records.

Automation & Development

- Develop automation utilities using Python.

- Design and maintain automated data validation frameworks.

- Develop SQL queries for data analysis and validation.

- Develop PySpark notebooks for large-scale data processing and validation.

- Develop and execute test pipelines using Azure Data Factory.

- Build automated validation and reporting utilities.

Cloud & Data Platforms

- Work with Azure Data Factory (ADF).

- Develop and validate Azure Synapse Pipelines and Notebooks.

- Work with Azure Storage Accounts and Containers.

- Validate data stored in Azure Cosmos DB.

- Work with Azure Privileged Identity Management (PIM) where applicable.

- Validate AWS S3 storage and data processing.

- Perform Azure-to-AWS file transfer validation.

- Support job monitoring and production support activities.

Metrics, Reporting & Analytics

- Extract and verify source metrics.

- Validate metrics stored in SQL Server databases.

- Validate Power BI dashboards and reports.

- Perform reconciliation across File → Database → Power BI reporting layers.

- Verify data consistency between source systems and reporting outputs.

Data Processing & Quality

- Process and validate large-scale datasets.

- Work with multiple file formats, including:

- CSV

- Delimited files

- Fixed-width files

- Excel

- Validate source, intermediate, and output datasets.

- Analyze exception, reject, and invalid data.

Required Technical Skills

Programming: Python, SQL, PySpark

Azure: Azure Data Factory, Azure Synapse Analytics, Azure Storage, Azure Cosmos DB, Azure PIM

AWS: AWS S3

Database: SQL Server, SSMS

Analytics: Power BI, Excel

Testing: Data Validation, Data Reconciliation, Data Quality Testing, Pipeline Testing, Test Automation

Other: Source-to-Target Mapping, Production Monitoring & Support, Rally

AI/Automation: Microsoft Copilot

AI & Automation Enablement

- Utilize Microsoft Copilot for productivity and automation where applicable.

- Identify opportunities to improve QA and data validation processes through automation.

- Develop reusable validation and reporting utilities to improve testing efficiency.

Candidate Profile

- 5–6 years of experience in Data Engineering QA / Data Validation / Data Testing.

- Strong hands-on experience in automated data validation and reconciliation.

- Strong understanding of data pipelines and data processing workflows.

- Excellent analytical and problem-solving skills.

- Ability to analyze complex datasets and identify data quality issues.

- Strong defect investigation and RCA capabilities.

- Good communication and stakeholder management skills.

- Ability to work effectively in an Agile environment.

- Strong attention to detail while validating large-scale and multi-format datasets.

Pay: ₹70,000.00 - ₹90,000.00 per month

Experience:

data validation: 5 years (Required)

Work Location: Remote

Quick apply

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