Data Quality Engineer

Job Description

Job Summary We are looking for a Data Quality Engineer who will safeguard the integrity of our cloud-native data assets. You will design and execute automated and manual data-quality checks across structured and semi-structured sources on Azure and GCP, validating that our data pipelines deliver accurate, complete, and consistent datasets for analytics, reporting, and AI initiatives. Key Responsibilities Define, build, and maintain data-quality frameworks that measure accuracy, completeness, timeliness, consistency, and validity of data ingested through ETL/ELT pipelines. Develop automated tests using SQL, Python, or similar tools; supplement with targeted manual validation where required. Collaborate with data engineers to embed data-quality gates into CI/CD pipelines on Azure Data Factory / Synapse / Fabric and GCP Dataflow / Cloud Composer. Profile new data sources (structured and semi-structuredJSON, Parquet, Avro) to establish baselines, detect anomalies, and recommend cleansing or transformation rules. Monitor data-quality KPIs and publish dashboards/alerts that surface issues to stakeholders in near-real time. Conduct root-cause analysis for data-quality defects, propose remediation strategies, and track resolution to closure. Maintain comprehensive documentation of test cases, data-quality rules, lineage, and issue logs for audit and governance purposes. Partner with data governance, security, and compliance teams to ensure adherence to regulatory requirements Must-Have Skills 4-6 years of experience in data quality, data testing, or data engineering roles within cloud environments. Hands-on expertise with at least one major cloud data stackAzure (Data Factory, Synapse, Databricks/Fabric) or GCP (BigQuery, Dataflow, Cloud Composer). Strong SQL skills and proficiency in a scripting language such as Python for building automated validation routines. Solid understanding of data-modeling concepts (dimensional, 3NF, data vault) and how they impact data-quality rules. Experience testing semi-structured data formats (JSON, XML, Avro, Parquet) and streaming/near-real-time pipelines. Excellent analytical and communication skills; able to translate complex data issues into clear, actionable insights for technical and business stakeholders. Nice-to-Have Skills Familiarity with BI/reporting tools (Power BI, Looker, Tableau) for surfacing data-quality metrics. Preferred Certifications Google Professional Data Engineer or Associate Cloud Engineer (GCP track) - OR - Microsoft Certified: Azure Data Engineer Associate Education Bachelors or Masters degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. Comparable professional experience will also be considered. Why Join Us? You will be the guardian of our datas trustworthiness, enabling decision-makers to rely on insights with confidence. If you are passionate about building automated, scalable data-quality solutions in a modern cloud environment, we’d love to meet you.