Data Quality Engineer

Data Quality Engineer

Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.

Hybrid

3-6 Month Contract to Hire

About the Role

We are seeking a Data Quality Engineer to design, build, and support enterprise data quality frameworks, monitoring solutions, and automated validation processes. This role partners with Data Engineering, Governance, Analytics, and Business teams to ensure trusted, reliable, and high-quality data across the organization.

Experience with Ataccama is strongly preferred.

Key Responsibilities

• Data Quality Design and implement enterprise data quality frameworks and controls.
• Develop automated validation, monitoring, and exception reporting solutions.
• Measure and improve data quality across Accuracy, Completeness, Consistency, Validity, Integrity, Uniqueness, and Timeliness.
• Partner with Data Governance teams to operationalize data quality standards.
• Investigate and resolve complex data quality issues through root cause analysis.
• Data Engineering Build and optimize ETL/ELT pipelines using Databricks, Spark, Python, SQL, and Azure Data Factory.
• Embed data quality validations into ingestion and transformation processes.
• Develop reusable validation components and automated testing frameworks.
• Support cloud data platforms and modernization initiatives.
• DevOps & Collaboration Build and maintain CI/CD pipelines and Git-based deployment processes.
• Collaborate with engineers, architects, analysts, and business stakeholders.
• Translate business requirements into scalable technical solutions.
• Present findings and recommendations to technical and business audiences.
• Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in Data Engineering, Data Quality Engineering, or related roles.
• Strong expertise in:
• SQL
• Python
• Databricks & Spark
• Azure Data Factory (ADF)
• Oracle and modern cloud data platforms
• Git and CI/CD pipelines
• Strong analytical, troubleshooting, and root cause analysis skills.
• Excellent communication and stakeholder management abilities.
• Preferred Qualifications Experience with Ataccama Data Quality Platform
• Knowledge of Data Governance, MDM, data lineage, and metadata management.
• Experience with Delta Lake, Azure cloud services, Snowflake, Power BI, or Tableau.
• Experience implementing automated data testing and observability solutions.
• Experience working in Agile environments.

Technical Skills

Data Quality: Experience with Ataccama or other equivalent Data Quality (DQ) tools.

, Data Profiling, Monitoring, Validation, Governance, Data Lineage

Data Engineering: Databricks, ADF, Spark, Delta Lake, ETL/ELT, Data Warehousing

Programming: SQL, Python, PySpark

DevOps: Git, Azure DevOps, CI/CD, Automated Testing

Ideal Candidate Profile

The ideal candidate has previously built or supported a Data Quality platform, preferably using Ataccama , and has hands-on experience developing enterprise-grade data engineering solutions using Databricks, Python, SQL, ADF, Git, and CI/CD practices . They are equally comfortable discussing architecture with engineers, presenting findings to leadership, and diving deep into data to identify and resolve quality issues. xhyhwjd They bring a passion for delivering trusted, high-quality data that drives business decisions.