VN Technology Data Engineer - Analysis Platform
CADDi, Inc.2 months ago
Hanoi, Vietnam or Ho Chi Minh City, VietnamSenior
Responsibilities
- Build and operate batch and streaming data pipelines from databases, event streams, and SaaS tools into BigQuery.
- Model the data warehouse for reusable business concepts and optimize pipeline and query speed, reliability, and cost.
- Implement data contracts, automated testing, freshness monitoring, ownership documentation, lineage, and access controls.
- Improve data and annotation quality in collaboration with ML engineers to raise model performance.
- Enable self-service analytics by creating datasets, defining core metrics, and maintaining event taxonomy.
- Collaborate with ML engineers, platform engineers, product managers, analysts, and other teams on data and ML workflows.
- Support modeling, ML serving, operational workflows, ML verification, and faster business-value validation.
Requirements
- 5+ years of professional experience as a Data Engineer or software engineer primarily building data pipelines and data platforms.
- Strong SQL skills for writing, debugging, optimizing analytical queries, and modeling data for analytical workloads.
- Proficiency in Python for data processing, pipeline development, and automation.
- Production experience designing and operating ETL/ELT pipelines, including orchestration, scheduling, backfills, and failure handling.
- Experience with a cloud data warehouse or large-scale data processing platform and related cost and performance trade-offs.
- Experience developing with public cloud platforms such as Google Cloud or AWS.
- Fluent business communication skills in English, including written communication and meetings; CEFR B1 or higher.
- Must currently reside in Vietnam or plan to relocate, with valid Vietnam work authorization or legal eligibility to work there.
- Preferred experience with dbt, streaming or event-driven processing, data lakes, lakehouses, feature stores, data-quality and observability practices, and analytics tools.
- Preferred experience with statically typed languages, infrastructure as code, CI/CD, Kubernetes, ML pipelines, ML collaboration, and ML/AI frameworks.
- Preferred knowledge of statistics, linear algebra, AI concepts, team leadership or project driving, Scrum or Agile methodologies, and conversational Japanese at approximately JLPT N2 level.
- Ability to take ownership, address essential problems, communicate constructively, and work effectively in changing and uncertain situations.
Benefits
- Hybrid work arrangement with at least one office day per week in Ho Chi Minh City or Hanoi.
- Official full-time employment with a 2-month probation period.
- 12 days of annual paid leave, national holidays, year-end holidays from December 31 to January 3, Tet holidays, and other statutory leave.
- 13th-month salary and salary reviews twice per year.
- 100% monthly basic salary and mandatory social insurance coverage during the 2-month probation period.
- Premium health insurance plus social, health, unemployment, and workers’ accident compensation insurance.
- Annual health check-up and allowances including childcare, commuting, and life-event gifts.
- Growth support including server-fee subsidies, external training support, and intensive internal or external training programs.
- PC and display equipment of the employee’s desired specifications.
- Company awards, semiannual MVP awards, year-end parties, and team-building activities.
Tech Stack
Amazon RedshiftApache AirflowApache BeamApache HadoopApache KafkaApache SparkAWSCloudflareDatabricksDatadogdbtElasticsearchExpressFastAPIGitHub ActionsGoGoogle BigQueryGoogle CloudGraphQLgRPCHelmIstioJavaKotlinKubernetesMetabaseNestJSNext.jsNode.jsOpenCVPostgreSQLPythonPyTorchReactRustScalascikit-learnSnowflakeSQLTensorFlowTerraformTypeScript
Categories
Data Engineering
About CADDi, Inc.
CADDi builds an AI-powered data platform for manufacturers, centered on CADDi Drawer, which indexes and analyzes 2D/3D drawings and production data to improve design reuse, sourcing, and cost. It sells SaaS to OEMs and industrial suppliers and supports supply chain and procurement workflows such as drawings search and management. Founded in 2017 and headquartered in Chicago with a major presence in Tokyo, it is privately held; customers include Suzuki, YKK, and Yanmar.