Senior Data Engineer

Primary Objectives

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

Main responsibilities

• Data Modeling & Architecture: Design CDP/CRM data models using medallion architecture, dimensional modeling, data vault, or data mesh; align with governance standards.
• 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.
• Operations & Optimization: Monitor pipelines, troubleshoot, automate alerts, and drive continuous performance improvements.
• Others:
+ Maintain documentation, conduct code reviews, and promote knowledge sharing.
+ Support ad- hoc data needs and troubleshoot data issues.
+ Research and adopt emerging data technologies to enhance platform capabilities

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.
• Practical experience with workflow orchestration (DBT, Airflow, or equivalent).
• Advanced proficiency in SQL and data modeling for large- scale systems.
• Hands- on experience with cloud data platforms (Databricks, BigQuery, Redshift, Snowflake or Spark- based solutions).
• Familiarity with CDP/CRM ecosystems and integration with marketing platforms (Facebook Ads, Google Analytics, Criteo, RTB House).

Technical skills

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

Soft skills

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

Chế độ bảo hiểm, Du Lịch, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương

Cập nhật gần nhất lúc: 2025-10-02 18:00:05