- Design, build, and maintain data pipelines and ETL processes .
- Develop and optimize databases and data warehouses .
- Implement data models and schemas to support analytics and reporting.
- Ensure data quality , integrity, and governance.
- Build software applications that interact with data systems.
- Create APIs for data access and integration.
- Develop front-end solutions for data visualization and user interfaces.

Required Qualifications

- Graduate degree in Computer Science or related field.
- 3+ years of industry experience.
- Proficiency in Python and strong knowledge of SQL and NoSQL databases.
- Experience with data processing frameworks (e.g., Apache Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Expertise in HTML, CSS, JavaScript , and contemporary front-end frameworks.
- Ability to analyze complex datasets and derive actionable insights.
- Strong communication and collaboration skills; ability to work with cross-functional teams.

Skills: Data Modeling, Etl, Data Warehousing, Sql, Nosql

Experience: 3.00-8.00 Years

📌 Cloud Engineer-AI Data (Bengaluru)
🏢 HealthAsyst
📍 Bengaluru