Senior ETL Automation Tester

Primary Skills (Must-Have)

• Python: Strong scripting skills for automation, data manipulation, and validation.
• SQL: Proficient in writing queries for data extraction, joins, and aggregations.
• Data Exploration Validation: Ability to analyze, clean, and standardize data into correct formats.

Secondary Skills (Good-to-Have)

• ETL Concepts: Understanding of data pipelines, transformations, and validation techniques.
• Database Concepts: Familiarity with relational databases, schemas, and data modeling.
• Data Formatting Standardization: Experience in converting raw data into structured formats.

Key Responsibilities:

• Develop and maintain automation scripts using Python for data validation and transformation.
• Perform ETL data validation across multiple data sources and formats.
• Conduct data exploration and profiling to identify anomalies, trends, and inconsistencies.
• Standardize and format raw data into clean, structured outputs.
• Collaborate with data engineers and QA teams to ensure data quality and integrity.
• Write and optimize SQL queries for data extraction and validation.
• Document automation workflows and validation logic clearly.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.