GST Data Engineer

Mô tả công việc

1 - Project Overview:

Position Data Engineer (Mid / Senior)

Level 2 – 4 years of experience

Location Hà Nội (Hòa Lạc)

Language English — Business Proficiency (speaking & writing)

Employment Full-time

2 - Job Description:

1. Data Pipeline & Integration

• Design, build, and maintain scalable ETL/ELT pipelines for batch and streaming data

• Integrate data from diverse sources: transactional databases, APIs, event streams, flat files

• Develop and manage data ingestion workflows using tools such as Apache Airflow, Spark, or Kafka

• Ensure data quality, consistency, and completeness across the data platform

2. Data Modeling & Warehouse

• Design and implement dimensional data models (star/snowflake schema) for analytics and reporting

• Build and maintain data warehouse / lakehouse on cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, or Databricks)

• Define and enforce data standards: naming conventions, data dictionaries, lineage documentation

• Optimize query performance through partitioning, clustering, indexing, and materialized views

3. Data Infrastructure & MLOps Support

• Manage data infrastructure using Infrastructure-as-Code (Terraform, CloudFormation)

• Build feature stores and data pipelines that feed AI/ML models developed by the AI Engineering team

• Implement data observability and monitoring: SLA tracking, anomaly detection, data drift alerts

• Support CI/CD practices for data pipelines: version control, testing, automated deployment

4. Collaboration & Communication

• Work closely with AI Engineers, Solution Architects, and Business Analysts to define data requirements

• Communicate data architecture decisions and trade-offs clearly in English

• Participate in Agile/Scrum ceremonies: Sprint planning, daily stand-up, demo, retrospective

• Produce and maintain data documentation: data catalogs, pipeline runbooks, data contracts

Yêu cầu ứng viên

3 - Qualifications:

Must-Have

• 2–3+ years of hands-on experience in data engineering roles in production environments

• Proficiency in SQL (complex queries, window functions, performance tuning) and Python (pandas, PySpark)

• Experience designing and operating data pipelines with at least one orchestration framework (Airflow, Prefect, Dagster)

• Hands-on experience with at least one cloud data warehouse or lakehouse platform (BigQuery, Redshift, Synapse, Databricks)

• Understanding of data modeling concepts: normalization, dimensional modeling, slowly changing dimensions (SCD)

• English communication proficiency — able to conduct technical meetings and write documentation in English

• Understanding of SDLC: Git workflow, code review, CI/CD pipelines, Agile/Scrum methodology

Nice-to-Have

• Experience with streaming data platforms: Apache Kafka, AWS Kinesis, or Azure Event Hubs

• Familiarity with dbt (data build tool) for transformation layer development

• Knowledge of data lakehouse architecture (Delta Lake, Apache Iceberg, Apache Hudi)

• Exposure to MLOps: building feature pipelines, managing training datasets, model data versioning

• Experience in retail, e-commerce, or enterprise SaaS domain (transaction data, loyalty, inventory — a strong plus)

• Cloud certifications: AWS Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer

Quyền lợi & Phúc lợi

4 - Others/Benefit:

- Competitive salary with performance-based Project Bonuses (KPIs & Client Satisfaction Index).

- Professional growth environment with direct exposure to global clients and clear career paths toward Delivery Manager or Operations Manager roles.

- Comprehensive benefits package: Premium health insurance, annual performance bonuses, and certification sponsorship budgets.

Tech Stack

DE Data Engineer

Mô tả công việc

Yêu cầu ứng viên

Quyền lợi & Phúc lợi

Tech Stack

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