Job Description

Attractive salary package! 5 days in office. Company is hiring multiple headcounts for Senior and Lead level. Please refer your friends too.

about job

Design, build, and maintain scalable batch and streaming data pipelines to support analytics and machine learning initiatives
Perform data transformation, cleansing, and validation using standard engineering frameworks
Implement and operationalize knowledge bases, vector search, and Retrieval-Augmented Generation (RAG) architectures for enterprise GenAI applications

skills and requirements

Bachelor's degree in Computer Science, Software Engineering
Min 5 years of hands-on experience in data engineering, cloud analytics, or data platform development
Strong expertise in Python, SQL, and distributed data processing using PySpark/Apache Spark
Proven track record building streaming and batch data pipelines using tools such as Databricks, Delta Lake, and Kafka
Hands-on experience developing RAG solution stacks, vector databases, and embeddings for GenAI use cases. Familiarity with enterprise data governance, CI/CD workflows, Git version control, and cloud-native observability.
Needs to have some AI knowledge or experience

To apply online please use the apply function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)