Job Title : Data Quality Engineer (Python + SQL)

Location : India (Remote/Hybrid as per project needs)

Experience : 4 to 6 Years

Shift : US Shift

Role Overview :

We are seeking a detail-oriented Data Quality Engineer to ensure the reliability, accuracy, and integrity of enterprise data systems. In this role, you will design and implement automated data quality frameworks, validate large datasets, and proactively monitor data pipelines to detect inconsistencies and anomalies.

The ideal candidate will have strong expertise in Python, SQL, and modern data quality tools such as Great Expectations, Deequ, or Soda, along with a solid understanding of data validation, profiling, and monitoring in data pipelines.

Key Responsibilities :

Data Quality & Validation :

- Design and implement automated data quality checks across data pipelines

- Build validation frameworks using tools like Great Expectations, Deequ, or Soda

- Monitor data pipelines and proactively identify data anomalies or inconsistencies

- Define and enforce data quality rules, metrics, and thresholds

Data Engineering Support :

- Write efficient SQL queries to validate and profile large datasets

- Develop Python scripts and utilities for automated data validation and monitoring

- Work closely with data engineering teams to ensure data reliability across systems

- Analyze root causes of data issues and recommend corrective actions

Data Governance & Monitoring :

- Implement data quality dashboards and monitoring frameworks

- Maintain documentation for data validation rules and processes

- Support data governance initiatives by enforcing data standards and quality checks

- Continuously improve data quality processes and automation

Required Skills & Experience :

- 4 to 6 years of experience in data quality, data validation, or data engineering roles

- Strong proficiency in Python for data validation and automation

- Advanced SQL query writing and data analysis skills

Hands on experience with data quality tools such as :

Great Expectations :

- Soda (Soda SQL/Soda Core)

- Strong understanding of data profiling, validation, and monitoring techniques

- Experience working with large datasets and data pipelines

- Strong analytical and troubleshooting skills

Good to Have :

- Experience working with modern data platforms (Snowflake, Databricks, BigQuery, etc.)

- Exposure to workflow orchestration tools such as Airflow

- Knowledge of data governance and data lineage concepts

- Experience building data quality dashboards and alerts

Qualifications :

- Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

- Strong communication and collaboration skills

- Ability to work effectively in US shift environments