Quality Automation Engineer

4 hours ago

Pune, Maharashtra, India Codvo Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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