Python With Data Validation
3 weeks ago
Mode of interview -First round -Virtual, Final round F2 FSkill Experience Rating/5 Python SQL Automation scripting Data Exploraion & Validation ETL validation(knowledge) Team: Automation & Data Validation 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.
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Python with Data Validation
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