Data Quality Engineer

5 - 10 years

7 - 12 Lacs

Posted:6 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Responsibilities:

Design and execute ETL tests: Validate data sources, extract data, apply transformation logic, and load data into target tables.
Data quality assurance: Ensure data accuracy, completeness, and consistency throughout the ETL process, do regression tests.Troubleshooting: Identify and resolve data issues, errors, and inconsistencies in the ETL process.Collaboration: Work with developers, data engineers, and business stakeholders to ensure ETL processes meet business requirements and data quality standards. Attention to detail: Strong analytical and problem-solving skills to identify and resolve data issues.Communication: Effective communication skills to collaborate with cross-functional teams and stakeholders.

Capable of understanding business requirements and create automation suite for regression, sanity, feature releases

Should be able to handle full stack test of functionalities end to end using manual and automation testing

Requirements:

Technical skills:

  • Proficiency in any programming languages such as Python; knowledge of data warehouse architecture techniques
  • ETL testing tools: Databricks notebook, PySpark, DBeaver, Informatica/SSIS/Datastage, Pandas, AWS Cloud S3, SQL
  • Data quality assurance: Ensure data accuracy, completeness, and consistency throughout the ETL process, do regression tests.
  • UI, API functionality testing

Hands on Tools: JIRA, Confluence, Test Management Tools, PostMan, Dbeaver, Any Test Automation Tool

Additional Skills: AWS architecture, DEVOPS practices Kubernetes/cloud , CICD pipeline

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Software Development

Southfield MI

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