Overview
Senior Software QA Engineer role focused on Python-based automation and data validation, working on ETL data quality across multiple sources and formats.
What you'll do
- 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.
What you'll need
- Python: strong scripting skills for automation, data manipulation, and validation.
- SQL: proficient in writing queries for data extraction, joins, and aggregations.
- Data exploration and validation: ability to analyze, clean, and standardize data into correct formats.
Nice to have
- ETL concepts: understanding of data pipelines, transformations, and validation techniques.
- Database concepts: familiarity with relational databases, schemas, and data modeling.
- Data formatting and standardization: experience in converting raw data into structured formats.
Details
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.