Data Engineer

About the role

We are looking for a skilled Data Engineer with 2-3 years of experience in building scalable data pipelines, backend services, and data processing systems. The ideal candidate should have strong hands-on experience in Python, SQL, ETL/ELT, API development, and database technologies , with exposure to AI/ML applications, Agentic AI, and cloud or on-premises deployments.

What you'll do

• Design, develop, and maintain scalable ETL/ELT pipelines for processing structured and unstructured data
• Build data ingestion and transformation workflows using Python, SQL, and relevant data engineering frameworks
• Extract, clean, validate, normalize, and transform data from APIs, databases, files, and other sources
• Design and optimize database schemas, data models, SQL queries, joins, indexes, and aggregations
• Work with relational databases such as PostgreSQL/MySQL and NoSQL databases where required

What you need

• 2–3 years in data science & ai
• Python
• Spark
• Hadoop
• Airflow
• Informatica
• SQL
• Any graduate

Good to have

• FastAPI
• Flask
• Microservices
• Kubernetes
• Azure Data Factory
• Kafka