Lead Data Quality Engineer

You are a highly skilled Lead Data Quality Engineer who is responsible for driving data accuracy, consistency, and integrity across the data ecosystem. Your role involves designing, implementing, and overseeing data quality frameworks, ensuring compliance with best practices, and collaborating with cross-functional teams to maintain high data standards. Your key responsibilities include developing and implementing data quality frameworks, policies, and best practices to enhance data governance and integrity. You will conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues. Implement automated and manual data validation techniques to ensure completeness, consistency, and accuracy. Ensure adherence to data governance principles, regulatory requirements, and industry standards. Work closely with data engineering teams to maintain and enhance data pipelines with embedded quality checks. Develop automated data quality tests, monitoring dashboards, and alerts using SQL, Python, or other data tools. Partner with data engineers, analysts, and business teams to establish quality metrics and ensure alignment on data quality objectives. Track and report data quality KPIs, create dashboards, and provide insights to leadership. You should have at least 7 years of experience in data quality, data governance, or data engineering roles, with a minimum of 2 years in a leadership capacity. Your technical skills should include expertise in SQL for data querying, validation, and analysis. Experience with ETL processes, data pipelines, and data integration tools. Proficiency in Python, PySpark, or other scripting languages for data automation. Hands-on experience with Data Quality and Governance tools and knowledge of cloud platforms and modern data architectures. Familiarity with Big Data technologies is a plus. Soft skills required include strong problem-solving and analytical skills, excellent communication, and stakeholder management abilities, and the ability to lead and mentor a team of data engineers or analysts. Preferred skills include experience in regulated industries with data compliance knowledge and exposure to machine learning data quality frameworks. A data certification is also a plus. In addition to a challenging role, you will enjoy perks such as flexible timings, 5 days working, a healthy environment, celebrations, opportunities to learn and grow, build the community, and medical insurance benefits.,