Data Architect/Engineer- Bilingual Korean/ English)

Woongjin, Inc; Plano (TX); Sur place; USD 110 000 - 120 000; Plein temps

Avantages offerts par ce poste

Medical Insurance

Vision Insurance

401(k)

Paid Sick hours

Résumé du poste

Woongjin, Inc. is seeking a mid-level Data Platform Engineer to build a new greenfield data platform integrating internal systems (GSCM, SEASI, SMART, and BOSS) using a Medallion Architecture.

This role owns the end-to-end data pipeline—from ingestion through Bronze/Silver/Gold transformation—while migrating existing Alteryx workflows to code-based dbt and Python implementations. The engineer will also develop an MCP server enabling AI agents to query business-specific data marts, directly

Qualifications

• 3+ years of hands-on data engineering experience in production environments.
• Advanced SQL skills, including window functions, CTEs, and query tuning.
• Hands-on dbt experience, including model design, incremental strategies, macros, and tests.
• Python proficiency for data processing and automation, including libraries such as pandas.
• Experience with at least one analytical engine: Trino/Presto, Apache Spark, or DuckDB.
• Experience with at least one lakehouse table format: Apache Iceberg, Delta Lake, or Apache Hudi.
• Experience integrating relational database sources, such as Microsoft SQL Server and Oracle, using CDC or batch processing
• Experience with Medallion Architecture and star schema/dimensional modeling

Responsabilités

• Ingest data from sources such as Microsoft SQL Server (BOSS) and Oracle into the Bronze layer, implementing CDC-based incremental ingestion
• Develop dbt models for the Silver layer including cleansing, standardization, deduplication, and data quality testing
• Develop Gold layer business-specific data marts and migrate existing Alteryx transformation logic
• Configure Apache Iceberg tables and a REST Catalog, including schema evolution and time travel support
• Develop and operate Apache Airflow DAGs, managing dependencies, scheduling, and failure notifications
• Develop an MCP server enabling AI agents to query Gold-layer data marts, including catalog/metadata access, ontology integration, and query execution
• Manage metadata and data lineage using OpenMetadata
• Automate Excel reporting using Python and openpyxl

Connaissances

SQL

dbt

Python

Trino/Presto/Spark/DuckDB

Iceberg/Delta/Hudi

CDC data ingestion

Medallion Architecture

Star schema modeling

Outils

Microsoft SQL Server

Oracle

MinIO (S3-compatible storage)

OpenMetadata

DataHub

Alteryx

Description du poste

• Contract
• Compensation: USD 110,000 - USD 120,000 - yearly

Company Description

For More Open Positions Visit us at:
http://recruiting.woongjininc.com/

Our Mission

WOONGJIN INC. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.

• Medical Insurance
• Vision Insurance
• 401(k)
• Paid Sick hours

Job Description

We are seeking a mid-level Data Platform Engineer to build a new greenfield data platform integrating internal systems (GSCM, SEASI, SMART, and BOSS) using a Medallion Architecture. This role owns the end-to-end data pipeline—from ingestion through Bronze/Silver/Gold transformation—while migrating existing Alteryx workflows to code-based dbt and Python implementations. The engineer will also develop an MCP server enabling AI agents to query business-specific data marts, directly supporting the organization's AI-driven analytics initiatives. Success in this role will deliver a scalable, governed data foundation that accelerates business insights and AI adoption.

Responsibilities

• Ingest data from sources such as Microsoft SQL Server (BOSS) and Oracle into the Bronze layer, implementing CDC-based incremental ingestion
• Develop dbt models for the Silver layer including cleansing, standardization, deduplication, and data quality testing
• Develop Gold layer business-specific data marts and migrate existing Alteryx transformation logic
• Configure Apache Iceberg tables and a REST Catalog, including schema evolution and time travel support
• Develop and operate Apache Airflow DAGs, managing dependencies, scheduling, and failure notifications
• Develop an MCP server enabling AI agents to query Gold-layer data marts, including catalog/metadata access, ontology integration, and query execution
• Manage metadata and data lineage using OpenMetadata
• Automate Excel reporting using Python and openpyxl

Qualifications

• 3+ years of hands‑on data engineering experience in production environments
• Advanced SQL skills, including window functions, CTEs, and query tuning
• Hands‑on dbt experience, including model design, incremental strategies, macros, and tests
• Python proficiency for data processing and automation, including libraries such as pandas
• Experience with at least one analytical engine: Trino/Presto, Apache Spark, or DuckDB
• Experience with at least one lakehouse table format: Apache Iceberg, Delta Lake, or Apache Hudi
• Experience integrating relational database sources, such as Microsoft SQL Server and Oracle, using CDC or batch processing
• Experience with Medallion Architecture and star schema/dimensional modeling

Preferred Qualifications

• Experience with EL tools such as Airbyte or Fivetran, and Iceberg REST Catalog implementations such as Apache Polaris
• Experience with governance tools such as OpenMetadata or DataHub, and semantic layers such as Cube.dev
• Ability to interpret Alteryx workflows (.yxmd) and migrate their logic to SQL/dbt
• Experience developing MCP servers or building LLM, RAG, or AI agent pipelines
• Experience developing applications, APIs, or backend services using Java and/or Python
• Experience building Generative AI (GenAI) applications, including LLM integration, retrieval‑augmented generation (RAG), and AI agent workflows
• Hands‑on experience with LangChain and/or LangGraph for developing tool‑enabled AI agents and orchestrating multi‑step workflows
• Understanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics
• Understanding of retail and home appliance business domains, including PSI (Production, Sales, and Inventory) and sales analytics

Required Technical Skills

SQL

dbt

Python

Trino/Presto or Apache Spark or DuckDB

Apache Iceberg or Delta Lake or Apache Hudi

Microsoft SQL Server

Oracle

MinIO (S3-compatible storage)

Preferred Technical Skills

Java or Python

Generative AI (GenAI) and LLM integration

LangChain

LangGraph

RAG and AI agent pipelines

Airbyte

Fivetran

OpenMetadata

DataHub

Cube.dev

Alteryx

Additional Information

All your information will be kept confidential according to EEO guidelines.

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