Senior Data Engineer

Our client, one of biggest banks in Vietnam is looking for a senior data engineer:

·      Lead the team to improve scalability, reliability, and cost-efficiency of the Data Platform.

·      Design, build, and deploy data pipelines (batch & streaming) using Spark orchestrated via Airflow.

·      Develop libraries and frameworks for data ingestion, transformation, and governance with clean architecture principles.

·      Collaborate with Data Architects to design/review data models, enforce data contracts, and maintain schema governance.

·      Optimize performance with partitioning, caching, Z-Ordering, and metadata management in lakehouse environments (Delta/Iceberg/Hudi).

·      Ensure security and compliance: IAM, encryption, secrets management, and GDPR/CCPA adherence.

·      Drive CI/CD for data workflows, IaC (Terraform), and container orchestration (Kubernetes).

·      Monitor SLOs/SLAs, implement alerting, and lead incident responses and postmortems.

·      Design and operate end-to-end ML/LLM pipelines: data prep, training, evaluation, and deployment.

·      Build RAG architectures, vector search, and embedding pipelines for LLM-based applications. 

 Must have:

·      Bachelor’s or master’s degree in computer science, Software Engineering, Information Technology, or a related technical field

·      English is required

·      Have 5+ years of experience as a Data Engineer or Software Engineer

·      Have experience in Cloud (AWS/Azure/GCP)

·      Extremely proficient in at least 1 programming language (Python/Scala/Java)

·      Strong experience in systems architecture – particularly in complex, scalable, and fault-tolerant distributed systems

·      Good at multi-threading, atomic operations, computation framework: Spark (DataFrame, SQL, ...), distributed storage, distributed computing

·      Understand designs of resilience, fault-tolerance, high availability, and high scalability, ...

·      Tools: CI/CD, Gitlab, ...

·      Good at communication & team working

·      Being open-minded, willing to learn new things

 Nice to have:

·      Experience with Databricks (Delta Lake, Unity Catalog, Delta Live Tables) or similar lakehouse technologies is a strong plus.

·      Proven ability in performance tuning and optimization for Big Data workloads (Spark/Flink, partitioning, shuffle strategies, caching).

·      Familiarity with modern data transformation frameworks (dbt).

·      Knowledgeable in AI and LLM technologies is a plus, including prompt engineering, embeddings, and retrieval-augmented generation (RAG).

·      Hands-on experience with vector databases (ChromaDB, Vector Search) and LLMOps practices. 

Please contact our senior consultant, Phuong Linh via: + 84 94 335 6541 (Whatsapp/zalo) for further support.