Quality Automation Engineer - Data (India)(Remote)
Please mention DailyRemote when applying
AI Summary
The Data Quality Engineer will design and implement robust data quality frameworks to ensure data accuracy, consistency, and reliability across data platforms. Responsibilities include developing data quality checks, collaborating with teams to resolve data issues, and automating reporting mechanisms.
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.
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