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For Employers

Data QA Analyst

Umanist NA

5 years

6 - 16 Lacs

thiruvananthapuram taluk india

Posted:2 weeks ago| Platform:

Apply

Skills Required

data etl python checks consistency reliability testing extraction logic api reconciliation sql profiling troubleshooting reporting analyze resolve documentation test audits support flow automation excel azure databricks

Work Mode

On-site

Job Type

Full Time

Job Description

Data QA Analyst 882

Location:

Pune / Trivandrum

Experience:

5+ years

Work Model:

Hybrid (3 days in office)

Notice Period:

0–15 days

Working Days:

5 days/week (from ODC)

About The Role

We are seeking an experienced

Data QA Analyst

with strong expertise in

ETL Testing

and

Python automation

. The role involves validating ETL workflows, conducting detailed data quality checks, and automating processes to maintain data accuracy, consistency, and reliability across platforms.

Key Responsibilities

Perform ETL testing to validate data extraction, transformation logic, and loading processes.
Conduct API testing for data validation across integrated systems.
Execute data validation and reconciliation to ensure accuracy, completeness, and consistency.
Write and run complex SQL queries for profiling, validation, and troubleshooting.
Develop and maintain Python scripts for automating data quality checks and reporting.
Identify and analyze data anomalies, trends, and discrepancies in large datasets.
Collaborate with data engineers, analysts, and business stakeholders to resolve data quality issues.
Prepare documentation including QA processes, test plans, test results, and data lineage for audits.
Support enhancements to existing data QA frameworks, tools, and best practices.

Must-Have Skills

ETL Testing (data flow validation, transformation rules, load testing)
Python automation for data validation and reporting
SQL proficiency
API Testing
Excel for data manipulation and reporting
Experience with Azure Databricks

Skills: data quality,testing,data validation,etl testing,data,python,validation,reporting,etl

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