Data Quality Engineer

Job Description
Data Governance & Lineage:
Proven experience enforcing data governance policies, managing data catalog, and mapping end-to-end
Data Lineage
from source to visualization layers.
Robust SQL & Data Profiling:
Advanced proficiency in writing complex SQL queries to profile datasets, monitor schema drift, and identify structural anomalies.
Python Programming:
Strong scripting skills in Python to build automated validation tests and interact with APIs/governance frameworks.
Contemporary Data Stack (MDS):
Hands-on architecture experience with cloud data platforms like
Snowflake
or Databricks.
Data Quality Tools:
Practical experience using testing and governance frameworks such as
Outstanding Expectations
,
dbt test
,



or enterprise catalog (e.g., Collibra, Informatica).
Data Pipelines & Orchestration:
Solid understanding of ETL/ELT pipelines and orchestration tools (
Apache Airflow
or Prefect) to embed quality checks and compliance controls directly into data workflows.

Preferred / Nice-to-Have:
Familiarity with data privacy regulations (e.g., GDPR, CCPA) and data masking techniques.
Experience with Big Data processing (Apache Spark/PySpark).
Experience with Data Observability platforms.
Mandate: Collibra / Alation / Microsoft Purview

📌 Data Quality Manager Hyderabad
🏢 Cyient
📍 Hyderabad