Quality Automation Engineer - Data (India)(Remote)

Data Quality Engineer Role Overview 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. Key Responsibilities • 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 Technologies & Skills • 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 Skills • Experience with ML pipelines (MLflow, Feature Store) • Knowledge of visualization tools (Power BI, Tableau, Looker) • Exposure to Graph databases (Neo4j) or RAG/LLM pipelines • Containerization (Docker, Kubernetes) • Basic front-end knowledge (React/Angular) • Microservices (FastAPI/Flask) Qualifications & Experience • 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 About Us At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.