Data QA Test Engineer

2 weeks ago

Bengaluru Gurugram Pune, India Helios Placement Solution Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Description Data QA Engineer (2–3 Years, Python + SQL + Cloud)

Position Overview

We are seeking a Data QA Engineer with 2–3 years of experience in Python, SQL, and cloud-based ETL/data testing. The role focuses on validating data pipelines, ensuring data quality, and building Python scripts for automation. Basic knowledge of ML and GenAI models is a plus.

Key Responsibilities

  • Validate ETL processes in AWS, Azure, GCP, or Snowflake.
  • Perform checks on schema, row counts, duplicates, nulls, and aggregates.
  • Reconcile source and target datasets.
  • Write SQL queries (joins, subqueries, CTEs, window functions) for testing.
  • Perform performance checks and data consistency validation.
  • Write validation scripts using pandas, numpy, sqlalchemy.
  • Automate test cases with pytest or unittest.
  • Validate data from cloud storage (S3, Blob, GCS) using Python SDKs.
  • Apply data quality checks with frameworks like Great Expectations.
  • Assist in validating ML workflows (data preparation, input/output checks).
  • Work with Python libraries (scikit-learn, tensorflow) for basic model testing.
  • Explore GenAI APIs (OpenAI, HuggingFace) for test data generation.

Required Skills

  • 2–3 years of experience in data QA/testing.
  • Strong knowledge of Python (pandas, numpy, pytest, sqlalchemy).
  • Proficiency in SQL (joins, aggregates, window functions).
  • Hands-on with at least one cloud platform (AWS, Azure, GCP, Snowflake, Databricks).
  • Understanding of data quality checks (row counts, duplicates, transformations).

Good to Have

  • Experience with ML/GenAI concepts and Python libraries.
  • Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
  • Knowledge of workflow tools like Airflow or Prefect.
  • Basic API testing using Python (requests).

Qualifications

  • Bachelor's in Computer Science, IT, or related field.
  • 2–3 years of experience in ETL/Data QA with Python + SQL.
  • Exposure to cloud platforms and data pipelines.

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