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, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J02318

Status:

Active

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