Google Data Analytics and Data Studio
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Outsource
Technical Skills:
Data
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Job ID:
J01236
Status:
Close
Related Job:
Data Engineer
Ho Chi Minh - Viet Nam
Outsource
- Data Engineering
- Python
Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.
Negotiation
View detailsSenior/ Lead Data Engineer
Ho Chi Minh - Viet Nam
Outsource
- Data Engineering
- Python
- Cloud
Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.
Negotiation
View detailsData Scientist
Ho Chi Minh - Viet Nam
Outsource
- Data Science
- Python
- LLM/RAG
- Cloud
Formulate client business inquiries as analytical and modeling challenges, and choose appropriate methodologies. Develop, verify, and implement predictive models like propensity, segmentation, churn, forecasting, and recommendation. Plan and assess experiments, including A/B tests and incrementality studies, and communicate outcomes to varied audiences. Devise and construct anticipatory applications, involving tool-utilizing agents, multi-step workflows, retrieval-augmented generation, and prompt design. Create assessment frameworks for AI systems, comprising test sets, quality metrics, guardrails, and regression checks on model and agent behavior. Utilize AI agents and automated workflows to enhance the efficiency of analysis, code development, and documentation processes, and verify their results. Collaborate with Data Engineers to operationalize features, models, and agents on cloud platforms such as Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow). Record methodologies, assumptions, limitations, and deliver findings to clients and internal leadership teams.