Must Have Skills: Python coding, SQL, Developing test automation framework, API Automation, API testing, ETL/Database testing, technical lead/team management experience,
Good to have: Gen AI, LLM, Cursor
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 (Valuable-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.
Qualifications
- Bachelor's degree in Computer Science or equivalent.