Data Engineer

ABOUT CLIENT

Our client is a global digital agency that specializes in transformative experiences. With a team of strategic thinkers, creative minds, and technology experts, Our client helps brands navigate the digital landscape and create innovative solutions. Their passion for crafting compelling digital experiences sets them apart in the industry.

JOB DESCRIPTION

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.

JOB REQUIREMENT

Professional experience in data engineering, including building and managing production pipelines.
Proficiency in SQL and Python.
Familiarity with cloud data warehouses like Snowflake, AWS Redshift, or BigQuery. Knowledge of a second platform is beneficial.
Experience utilizing dbt for modeling and transformation tasks.
Proficiency with a BI tool or semantic layer tool. Exposure to Sigma is advantageous.
Previous work with orchestration tools like Airflow, Cloud Composer, or Dagster.
Knowledge of Git and experience with CI/CD workflows.
Understanding of LLMs, embeddings, vector search, and AI agents in data applications.
Comfort with utilizing AI coding assistants in daily engineering tasks.
Competence in working with APIs and semi-structured data formats such as JSON, Parquet, and Avro.
Degree in Computer Science, Engineering, or relevant field, along with strong English skills for global collaboration.

WHAT'S ON OFFER

Attractive compensation package provided.
Embracing and exploring cutting-edge technologies is ingrained in our culture.
The position goes beyond coding, focusing on creating extraordinary new experiences.
Recognized as a top global workplace for cultivating innovation.
Work setup: Combination of office and remote work under a hybrid model.
Flexibility in working hours, valuing outcomes over strict scheduling.
Employee health insurance included.
Annual bonus equivalent to one month’s salary.
Ample annual leave, with extra days off in December, July, and long weekends.
Mac devices provided for work-related tasks.
Additional perks encompass a fully-stocked pantry with snacks.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Data Engineering

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J02318

Status:

Active

Related Job:

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

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 details

Data Scientist

Ho Chi Minh - Viet Nam


Outsource

  • Data Science

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.

Negotiation

View details

Head of Engineering Digital

Ho Chi Minh - Viet Nam


Product

Take charge of the technical direction for the Digital Sub-Domain, ensuring timely delivery of Sprint/SDLC epics and features. Provide leadership, guidance, and support to technology team members to enhance their skills and knowledge, fostering a high-performance team. Drive technical progress by focusing on enhancing speed, reducing costs, and improving quality, ensuring alignment within the squads on objectives and outcomes. Promote lean portfolio management across the Digital domains by connecting business roadmaps with software/platform delivery, overseeing agile, cross-functional teams to meet set targets, and addressing technical or delivery blockers that cannot be resolved at the squad level. Manage financials to ensure plan achievement and facilitate continuous integration/continuous deployment (CI/CD). Develop a leading-edge capability by strategically deploying departmental resources to optimize resource allocation and drive successful Digital product development. Serve as an NICV expert and collaborate with NAB corporate IT leadership to drive innovation initiatives in AI, Cloud, and other relevant areas. Advise stakeholders on digital development, testing, deployment, and operation of Digital NAD services from the Vietnam Innovation Center. Fulfill any additional responsibilities delegated by your People Leader or an authorized representative of NAB Vietnam as needed.

Negotiation

View details