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Test Lead - Data at HEXAWARE
, , Australia -
Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

ETL, Snowflake, Alteryx, Python Scripting, Data Quality, Data Validation, Data Profiling, Data Cleansing, Data Pipelines, Data Quality Frameworks, Data Quality Metrics, Troubleshooting, Documentation

Industry

IT Services and IT Consulting

Description
Position Overview We are seeking an experienced Senior Data Quality Engineer with strong expertise in ETL processes, Snowflake data warehousing, Alteryx workflows, and Python scripting. The ideal candidate will be responsible for ensuring the accuracy, reliability, and consistency of data across various platforms and will work closely with data engineering and analytics teams to develop and maintain automated data quality frameworks. Key Responsibilities • Design, develop, and maintain automated data quality and validation frameworks to ensure the integrity of data pipelines. • Collaborate with data engineering teams to understand ETL processes and identify potential data quality issues. • Perform data profiling, cleansing, and validation using tools such as Alteryx and custom Python scripts. • Build and optimize data quality checks and tests in Snowflake environments. • Monitor data quality metrics and generate reports to highlight data issues and trends. • Work with stakeholders to define data quality rules and standards. • Troubleshoot and resolve data quality issues in a timely manner. • Document data quality processes, standards, and best practices. • Mentor junior team members and contribute to process improvements.
Responsibilities
The role involves designing, developing, and maintaining automated data quality and validation frameworks to ensure data pipeline integrity. Responsibilities also include collaborating with engineering teams, performing data profiling, and building quality checks within Snowflake environments.