Senior Data Engineer

Primary Objectives

• Design and maintain scalable data pipelines powering CDP and CRM platforms.
• Ensure data quality, consistency, and availability across enterprise systems.
• Develop and enhance data mart (Customer Profile, Journey, Event) as CDP/CRM backbone.
• Collaborate with cross- functional teams to deliver reliable, business- driven solutions.

Main responsibilities

• Operations & Optimization: Monitor pipelines, troubleshoot, automate alerts, and drive continuous performance improvements.
• Data Integration & Pipelines: Build and optimize batch/real- time ETL/ELT pipelines across transactional, marketing, CRM/CDP, and external APIs, ensuring scalability and cost efficiency.
• Data Modeling & Architecture: Design CDP/CRM data models using medallion architecture, dimensional modeling, data vault, or data mesh; align with governance standards.
• Others:
+ Support ad- hoc data needs and troubleshoot data issues.
+ Research and adopt emerging data technologies to enhance platform capabilities
+ Maintain documentation, conduct code reviews, and promote knowledge sharing.

Education level

• Bachelor’s degree in information technology, business, or related field, or equivalent combination of education and experience required

Knowledge & Experience

• 3+ years of experience as a Data Engineer with strong ETL/ELT pipeline development.
• Advanced proficiency in SQL and data modeling for large- scale systems.
• Familiarity with CDP/CRM ecosystems and integration with marketing platforms (Facebook Ads, Google Analytics, Criteo, RTB House).
• Hands- on experience with cloud data platforms (Databricks, BigQuery, Redshift, Snowflake or Spark- based solutions).
• Practical experience with workflow orchestration (DBT, Airflow, or equivalent).

Technical skills

• Building ETL/ELT pipelines for structured/unstructured data; real- time streaming (Kafka, Pub/Sub, EventHub); CRM/CDP and API integrations.
• Knowledge of lineage, catalog, and metadata management; hands- on with frameworks like Great Expectations or Soda.
• Experience with Databricks, Spark, or similar; cloud data warehouses (Databricks, BigQuery, Synapse, Snowflake); orchestration tools (DBT, Airflow, etc.).
• CI/CD for data engineering (Git, GitHub Actions, Azure DevOps); exposure to Docker/Kubernetes.
• Advanced SQL (queries, tuning, optimization); strong Python (data processing, automation, APIs); Scala/Java for Spark is a plus.

Soft skills

• Analytical mindset with strong troubleshooting skills; proactive in identifying risks, gaps, and proposing solutions.
• Curious and open to new technologies, eager to adopt best practices and experiment with new tools for efficiency.
• Effective communicator, able to bridge technical and business stakeholders.

Laptop, Chế độ bảo hiểm, Du Lịch, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương, Phụ cấp thâm niên, Nghỉ phép năm, CLB thể thao

Cập nhật gần nhất lúc: 2026-01-12 18:35:03