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Mô tả công việc
Location: Ho Chi Minh/ Da Nang
Level: Senior/ Expert
Role Overview
- Design and implement ETL/ELT pipelines using Python, SQL, and Spark/PySpark for scalable batch and streaming data processing.
- • Build ingestion from databases, APIs, files, and event streams, using change data capture (CDC) and managing schema evolution.
- • Develop Data Lake/Lakehouse layers and curated datasets using Delta Lake and Parquet, aligned with enterprise data architecture.
- • Implement dimensional models, including star/snowflake schemas and slowly changing dimensions, to support BI and analytics requirements.
- • Orchestrate pipelines with Airflow or Databricks Workflows, managing dependencies, scheduling, retries, and controlled backfills.
- • Implement data quality checks, reconciliation, and remediation; maintain metadata, data lineage, and catalog documentation.
- • Apply security and access controls, encryption, and secrets management in line with data classification and governance policies.
- • Optimize SQL queries, Spark workloads, storage layouts, and compute resources to improve performance and control platform costs.
- • Own production reliability against agreed SLAs through observability, alerting, incident resolution, and tested recovery procedures.
- • Use Git, CI/CD, automated testing, and infrastructure as code (IaC) to deliver repeatable deployments and maintainable engineering standards.
- • Collaborate with Data Architects, BI, and application teams to agree data contracts, resolve integration issues, and communicate delivery trade-offs
Yêu cầu ứng viên
• 5+ years of experience in data engineering or a related field, delivering and supporting production data pipelines.
• Strong Python and SQL proficiency, with hands-on Spark/PySpark experience in distributed processing and performance tuning.
• Practical experience with ETL/ELT, batch and streaming, and CDC, using Kafka, Azure Event Hubs, Amazon Kinesis, or equivalent services.
• Hands-on experience with at least one cloud (GCP or AWS) and data platform such as Databricks, Snowflake, BigQuery, or Redshift.
• Strong understanding of Data Lake/Lakehouse patterns, Delta Lake, Parquet, dimensional modeling, and schema evolution.
• Experience with Airflow or Databricks Workflows, pipeline observability, failure recovery, and meeting data freshness and availability SLAs.
• Practical experience with Git, CI/CD, automated unit, integration, and data tests, and IaC tools such as Terraform.
• Working knowledge of data quality, lineage, metadata/catalog tools, and security/access control; strong communication with business and technical stakeholders.
- Professional working English (verbal and written) — this role involves direct client communication
Preferred Qualifications
• Relevant data engineering certifications in Databricks, Snowflake, Airflow, GCP, AWS, or Azure.
• Experience with dbt, reusable transformation frameworks, or Data Vault implementations.
• Advanced streaming experience with event-time processing, checkpointing, and handling late or duplicate events.
• Familiarity with data mesh, domain ownership, and implementing governed data products.
• Background in a regulated industry (telecom, finance, healthcare, insurance) with strong compliance and data governance needs.
Quyền lợi ứng viên
At SmartOSC, we offer the best to your values:
- Attractive salary package
- Salary review twice a year
- Flexible working hours (between 7:30am – 7:30pm on staff’s preference)
- Premium health care
- Working in one of the largest digital transformation agencies in Asia – Professional English environment
- Firm’s Certified Qualifications Sponsorship for career development
- Annual company trip inside or outside Vietnam
- Other fun activities: happy hour, quarterly team building, football club, yoga club, swimming club, charity activities, etc.
- Free entertainment parties: Birthday party, Anniversary party, Sum-up Party, Year-End Party, etc
Địa điểm và thời gian
Địa điểm làm việc
- Đà Nẵng: Công viên công nghệ phần mềm số 2, Đường Như Nguyệt, Phường Hải Châu (Phường Hải Châu thuộc quận Hải Châu cũ)
- Hồ Chí Minh: Cao ốc Tuổi Trẻ, 60A Hoàng Văn Thụ, Phường Phú Nhuận (Phường Phú Nhuận thuộc quận Phú Nhuận cũ)
Thời gian làm việc
- Thứ 2 - Thứ 6 (từ 09:00 đến 18:15)
Cách thức ứng tuyển
- Ứng viên nộp hồ sơ trực tuyến bằng cách bấm Ứng tuyển ngay dưới đây.
Hạn ứng tuyển: 21/10/2026
