Role & responsibilities

- 7-10 years of experience in data engineering or related roles.
- Solid hands-on experience with AWS cloud services, including data and AI workloads.
- Deep understanding of Snowflake architecture, performance tuning, and best practices.
- Advanced proficiency in Python and SQL for data pipelines, transformations, and services.
- Hands-on experience with graph databases (e.g., Neo4j, Neptune) and vector databases (e.g., Milvus, Amazon OpenSearch).
- Experience with version control systems (e.g., Git) and Git workflows.
- Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Preferred candidate profile

Experience with orchestration tools such as AWS Step Functions.

- Familiarity with data governance and compliance practices.
- Exposure to real-time data processing frameworks (e.g., Kafka, Spark Streaming).

📌 Senior Data Engineer (Chennai)
🏢 Quest Global
📍 Chennai