Job at a glance
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)