Data Quality Engineer(IT)

We are seeking a detail-oriented and analytical Data Quality Engineer to ensure the accuracy, consistency, and reliability of data across our systems. In this role, you will define and enforce data quality standards, collaborate closely with data engineering and business teams, and implement automated controls to maintain high data integrity throughout the data lifecycle.

Key Responsibilities

• Define and implement data quality standards, rules, and validation processes.
• Perform data profiling, cleansing, and validation to identify inconsistencies, anomalies, and data gaps.
• Develop and maintain data quality dashboards, scorecards, and reports.
• Collaborate with data engineering teams to design and build pipelines with embedded data quality checks.
• Monitor data integrity, accuracy, and completeness across databases and data pipelines.
• Conduct root cause analysis of data quality issues and implement corrective and preventive actions.
• Automate data quality testing, monitoring, and alerting wherever possible.
• Work closely with business and technical stakeholders to understand data requirements and business rules.
• Ensure compliance with data governance, security, and regulatory policies.

Required Skills & Qualifications

• 4+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
• Strong SQL skills with hands-on experience working with relational databases.
• Experience with data profiling, cleansing, and validation techniques and tools.
• Solid understanding of ETL/ELT pipelines and data warehousing concepts.
• Proficiency in Python or similar scripting languages for data analysis and validation.
• Knowledge of data governance frameworks and best practices.
• Strong analytical thinking, problem-solving, and communication skills.

Preferred Skills

• Experience with data quality tools such as Great Expectations, Talend, Informatica, or similar platforms.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience working in AI/ML or advanced analytics environments is a plus.

Job Types: Full-time, Permanent

Work Location: In person