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We are looking for a Data Quality Engineer to design and implement robust data quality frameworks. The ideal candidate will ensure data accuracy, consistency, and reliability across our data platforms.
Job Responsibility
Develop and maintain data quality checks and validation frameworks
Collaborate with data engineers and analysts to identify and resolve data issues
Monitor data pipelines for anomalies and inconsistencies
Implement data profiling and cleansing processes
Ensure adherence to data governance and compliance standards
Automate data quality reporting and alerting mechanisms
Contribute to continuous improvement of data quality practices
Requirements
Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
5–8 years of experience in data-related roles
Strong problem-solving and analytical skills
Clear communication and documentation abilities
Experience working in cross-functional teams
Databricks (PySpark, Delta Lake, SQL)
Snowflake
Azure Data Factory
Informatica
Teradata
CI/CD (GitHub Actions, Azure DevOps)
Cloud Platforms (Azure, AWS, GCP)
Python
SQL
Data Governance
Data Modeling
Streaming (Kafka, Event Hub)
Unity Catalog
Nice to have
Experience with ML pipelines (MLflow, Feature Store)
Knowledge of visualization tools (Power BI, Tableau, Looker)
Exposure to Graph databases (Neo4j) or RAG/LLM pipelines