AI and Data Testing

Alignity Solutions; Hyderabad; Presencial; INR 900.000 - 1.500.000; A tiempo parcial

Descripción de la vacante

Alignity Solutions in India is seeking a seasoned AI and Data Testing engineer for contract-to-hire. Location includes HYDERABAD with flexibility for other cities, and requires 4+ years of experience in data testing, ETL testing, and data quality assurance.

You will apply advanced SQL, Python-based test automation, and testing across ETL/ELT pipelines, with knowledge of data warehouses, data lakes, and AI model validation techniques.

Formación

• Strong experience in data testing, ETL testing, or data quality assurance.
• Advanced SQL skills with complex joins, aggregations, and subqueries.
• Hands-on Python-based test automation experience.
• Experience testing ETL/ELT pipelines and validating data transformations.
• Knowledge of data warehouses, data lakes and database technologies.
• Understanding of AI/ML concepts and AI model validation techniques.
• Experience in functional, integration, regression, and end-to-end testing.
• Strong analytical, debugging, and problem-solving skills.

Conocimientos

Data testing

ETL testing

Advanced SQL

Python test automation

ETL/ELT validation

Data warehousing

AI/ML concepts

End-to-end testing

Analytical problem-solving

Herramientas

Postman

REST-assured

PyTest

Selenium

CI/CD

AWS

Azure

Google Cloud

Apache Spark

Databricks

Snowflake

Descripción del empleo

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Role:AI and Data Testing

Location:HYDERABAD | BANGALORE | Pune | Mumbai | Kolkata | Chennai | Gurugoan

Experience: 4+ Years

Employment Type:Contract to hire

Notice Period:0-30 days(If you have negotiable notice period or buyout option please apply)

Requirements

Required Technical Skills

Must-Have Skills:

• Strong experience in data testing, ETL testing, or data quality assurance.
  
• Advanced SQL skills, including complex joins, aggregations, subqueries, and analytical queries.
  
• Hands-on experience with Python-based test automation.
  
• Experience testing ETL/ELT pipelines and validating source-to-target data transformations.
  
• Knowledge of data warehouses, data lakes, and database technologies.
  
• Understanding of AI/ML concepts and AI model validation techniques.
  
• Experience in functional, integration, regression, and end-to-end testing.
  
• Strong analytical, debugging, and problem-solving skills.
  

Good-to-Have Skills:

• Experience testing Generative AI applications and LLM-based solutions.
  
• Knowledge of RAG architectures, vector databases, embeddings, and semantic search.
  
• Experience with AI evaluation frameworks such as Ragas, DeepEval, or equivalent tools.
  
• Exposure to MLflow, model monitoring, and model performance evaluation.
  
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  
• Knowledge of Apache Spark, Databricks, Snowflake, or similar data platforms.
  
• Experience with API testing tools such as Postman or REST-assured.
  
• Familiarity with PyTest, Selenium, and CI/CD tools.
  
• Knowledge of responsible AI, data privacy, and AI security testing.