Data Quality Engineer

About The Role: We are seeking a detail-oriented and proactive

Data Quality Engineer

to join our team. The role is responsible for ensuring the accuracy, completeness, consistency, and reliability of data across various systems and platforms. The Data Quality Engineer will collaborate with data engineers, analytics, and business stakeholders to design and implement processes, tools, and frameworks—particularly leveraging

dbt

and other modern data quality tools—to improve and maintain high-quality data for decision-making and business operations.

Key Responsibilities: Design, develop, and maintain

data quality frameworks

and validation rules, with a strong focus on

dbt testing and dbt documentation . Implement

automated data quality checks

within ETL/ELT pipelines (e.g., dbt tests, Great Expectations). Collaborate with

data engineering and Analytics Team

to integrate quality checks into data workflows. Define and monitor

data quality metrics (DQMs) , such as completeness, validity, uniqueness, and timeliness. Investigate and resolve data quality issues by identifying root causes and working with relevant teams. Document

data quality processes, dbt models, and best practices . Partner with stakeholders to

define data quality requirements

for new projects and integrations. Support regulatory, compliance, and governance initiatives by maintaining

high standards of data integrity .

About You: Bachelor’s degree in

Computer Science, Information Systems, Data Engineering, or related field . Proven experience in

data quality, data engineering, or data governance roles . Strong SQL skills and hands-on experience with

databases, dbt, ETL/ELT tools, and data pipelines . Familiarity with

cloud data platforms

(e.g., BigQuery). Experience with

dbt testing frameworks

(e.g., schema tests, custom tests, data documentation). Knowledge of

data quality frameworks, profiling tools, or data catalog solutions

(e.g., Great Expectations, Informatica DQ, Collibra). Strong analytical and problem-solving skills with keen attention to detail. Good understanding of

data governance, master data management, and regulatory compliance . Excellent communication skills and ability to work with cross-functional teams.

Nice to Have: Experience with

Python

for custom dbt tests or validation scripts. Exposure to

streaming data pipelines

(Kafka, Pub/Sub). Knowledge of

Agile/Scrum methodologies .