AI/ML Data Engineer

About the role

DEA’s charter is to discover, evaluate, and scale solutions that embed intelligent technology into every interaction - delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. By modernizing processes and accelerating self‑service, we help shift support from reactive to truly anticipatory.

What you'll do

• Develop, maintain, and optimize data pipelines and workflows and Feature Store to ensure seamless data ingestion and transformation as a scalable data solution
• Design, develop, implement, and architect Data Engineering pipelines, considering performance & scalability including data storage and processing
• Implement advanced data transformations and quality checks to ensure data accuracy, completeness, security and consistency of data
• Seamlessly integrate data from diverse sources, for data ingestion, transformation and storage, leveraging AWS S3 Storage and possibly Snowflake as a SQL Data Warehouse
• Create and implement advanced data models and schemas and ensure data governance and data management best practices

What you need

• 5–9 yrs of experience
• Machine learning
• SQL
• AWS
• Python
• ETL
• Data warehousing
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Snowflake
• Spark
• Kafka
• Databricks
• IAM
• CI/CD