Data Engineer – Analysis Platform

CADDi

. Build and operate batch and streaming pipelines bringing data from databases, event streams, and SaaS tools into BigQuery .

Posted 9/23/2026full-timeHo Chi Minh City • VietnamMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating data pipelines, with strong proficiency in SQL and Python for data processing and automation. Capable of ensuring data quality and performance while collaborating effectively with cross-functional teams to support machine learning initiatives.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingETL/ELT ExperienceCloud Data Warehouse Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLELTData ModelingData Quality ImprovementData ProcessingMachine Learning PipelinesInfrastructure as CodeStatically Typed Languages

Soft Skills

Fluent Business CommunicationConstructive CommunicationOwnershipCollaborationAdaptability

Tools & Technologies

BigQueryAirflowDbtSparkGoogle CloudAWSTerraformKubernetesApache BeamKafka

Industry Keywords

Data EngineeringData WarehousingData LakesMachine LearningAgile Methodologies

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSBigQueryCloudETLHadoopJavaKafkaKotlinKubernetesPythonPyTorchRustScalaScikit-LearnSparkSQLTensorflowTerraformTypeScriptGo

About the role

Key responsibilities & impact

Build and operate batch and streaming pipelines bringing data from databases, event streams, and SaaS tools into BigQuery
Model the data warehouse so business concepts are defined once and reused
Keep pipelines and queries fast, reliable, and cost-efficient
Set up data contracts, automated testing, and freshness monitoring
Establish data ownership, documentation, and access control for sensitive customer data
Improve data and annotation quality with the ML team to raise model performance
Work with product managers and analysts to create self-service datasets from business questions
Own core metric definitions and event taxonomy
Shorten the time from hypothesis formulation to data validation
Support modeling, ML serving, and operational workflows
Help expand the Analysis Platform team into data engineering, including reliable pipelines, governed warehousing, annotation efficiency, and faster value validation
Collaborate with ML engineers, platform engineers, and product teams
Participate in product development for CADDi DRAWER, CADDi’s cloud-based manufacturing drawing digital-transformation system

Requirements

What you’ll need

5+ years of professional experience as a Data Engineer, or as a software engineer primarily building data pipelines and data platforms
Strong SQL skills, including writing, debugging, optimizing complex analytical queries, and modeling data for analytical workloads
Proficiency in Python for data processing, pipeline development, and automation
Hands-on production ETL/ELT pipeline experience, including orchestration, scheduling, backfills, and failure handling
Experience with Airflow, dbt, Argo Workflows, Dagster, Spark, or equivalent
Experience with a cloud data warehouse or large-scale data processing platform such as BigQuery, Redshift, Snowflake, Databricks, Spark/Hadoop, or equivalent
Understanding of cost and performance trade-offs
Experience developing with public cloud platforms such as Google Cloud or AWS
Ownership of data correctness and implementation of preventive data checks
Fluent business communication skills in English; able to complete daily tasks in English, including text communication and meetings; CEFR B1 or higher
Must currently reside in Vietnam or plan to relocate
Foreign nationals must hold a valid Vietnam work permit or be legally eligible to work in Vietnam
Experience with dbt for warehouse modeling, testing, and documentation
Experience with streaming or event-driven data processing, such as Cloud Pub/Sub, Kafka, Apache Beam/Dataflow, or Spark Structured Streaming
Experience building and operating Data Lakes, Lakehouses, or Feature Stores
Experience improving data quality for data-centric ML model improvement
Experience with data quality and observability practices, including data contracts, testing frameworks, lineage, and anomaly detection
Experience planning and driving data utilization initiatives using BigQuery, Redash, Looker, or Metabase
Hands-on experience with a statically typed language such as Scala, Java/Kotlin, Go, TypeScript, Rust, or equivalent
Experience with infrastructure as code and CI/CD, including Terraform, GitHub Actions, or Kubernetes
Experience developing machine learning pipelines using Vertex AI Pipelines, Kubeflow, Apache Beam, or Spark
Experience collaborating with ML engineers to improve and deliver machine learning and data science models
Familiarity with scikit-learn, PyTorch, or TensorFlow
Basic knowledge of statistics, linear algebra, and core computer science concepts behind AI
Experience leading design, development, and operations as a team lead or project driver
Experience with Scrum or Agile methodologies
Conversational-level Japanese proficiency; JLPT N2 or above is a guideline
Ability to support CADDi’s mission and work across backend, infrastructure, and related areas
Ability to address essential issues with ownership in fast-changing and uncertain situations
Respectful, constructive communication

Benefits

Comp & perks

Hybrid work; come to the office at least once a week
13th month salary
Salary review twice a year
100% monthly basic salary and mandatory social insurances during the 2-month probation period
Premium Health Insurance
Social insurance, health insurance, unemployment insurance, and workers’ accident compensation insurance
Annual health check-up
Child-care allowance
Commuting allowance
Life event congratulatory gift
Server fee subsidy
Support for attending external training courses
Intensive training program, including external or internal training courses and workshops
PC and display of desired specifications
Company awards and MVP awards every 6 months
Year-end party and team-building activities
12 days annual paid leave
National holidays
Year-end holidays from December 31 to January 3
Tet holidays
Other leave following Labor Regulations