Data Engineer

About the role

We are seeking an ambitious Data and AI Engineer with 5-8 years of experience to play a pivotal role in modernizing client’s core data infrastructure and scaling advanced AI capabilities. This role bridges legacy big data environment and future cloud platform. You will actively maintain and optimize our existing data pipelines while architecting, developing, and transitioning workflows to an AI-ready cloud ecosystem.

What you'll do

• Cloud Modernization & Migration: Deconstruct legacy Apache Spark and Hadoop MapReduce workflows to re-architect and rebuild them as optimized
• Legacy Infrastructure Maintenance: Monitor, maintain, and troubleshoot existing big data workloads running on our Hadoop cluster to guarantee data availability for…
• Databricks AI Suite Implementation: Leverage Databricks tools (such as Databricks Vector Search, Mosaic AI, and Lakeflow) to orchestrate, track, and serve productio

What you need

• 5–8 years in data science & ai
• SQL
• LLMs
• Python
• Databricks
• ETL
• AWS
• Any graduate

Good to have

• Spark
• Hadoop
• Tableau
• Looker
• IAM
• Power BI