Data Quality Engineer
CodeVyasaHyderabad, Republic Of India, IN14 hours ago
Job descriptionProgramming : Python, SQL ETL / Data Processing : PySpark or equivalent ETL tools (Informatica, Talend, Glue, etc.) Data Warehousing : Snowflake (preferred), Redshift, or BigQuery Data Quality & Testing : Experience with frameworks for validation, reconciliation, and data governance Cloud Platforms : AWS / GCP / Azure (any one or more) CI / CD : Experience with Git, Jenkins, or similar tools for automated deployment Experience with Airflow , dbt , or Serverless data pipelines Familiarity with Infrastructure as Code (Terraform, CloudFormation) Understanding of data modeling, schema design , and data security best practices Exposure to machine learning pipelines or real-time data streaming (Kafka, Kinesis) Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage
Looking for Data Quality Engineer| Bangalore to join a team of rockstar developers. The candidate should have a minimum of 8+ yrs of experience.
About CodeVyasa :
CodeVyasa is a mid-sized product engineering company that works with top-tier product / solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas.
Key Responsibilities :
- Design, develop, and optimize data pipelines and ETL processes using PySpark or other ETL frameworks.
- Implement and manage data warehousing solutions (Snowflake preferred).
- Write efficient and scalable SQL and Python scripts for data transformation and automation.
- Ensure data quality , integrity, and reliability by applying data validation and testing frameworks.
- Collaborate with data analysts, data scientists, and business teams to support data-driven initiatives.
- Implement CI / CD pipelines for data workflows and integrations.
- Work with cloud environments (AWS, GCP, or Azure) to deploy and manage scalable data solutions.
- Monitor, troubleshoot, and optimize data systems for performance and cost efficiency.
Must Have Skills :
Good to Have :
Why Join CodeVyasa?
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Quality Engineer • Hyderabad, Republic Of India, IN
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