MÔ TẢ CÔNG VIỆC

We are seeking a Data Engineer with strong experience building scalable data solutions on AWS and Databricks. This role will be responsible for developing high-quality data pipelines, optimizing our Lakehouse environment, and enabling data-driven products across the bank.

Experience in financial services or banking is a strong advantage.

YÊU CẦU

1. Data Pipelines & Processing

• Develop and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL and Delta Lake.
• Build reliable, scalable data ingestion frameworks integrating with AWS services such as:

o S3, Glue, Lambda, Step Functions
o Kafka/MSK or Kinesis (real-time ingestion)
o RDS/Redshift or on-prem databases

• Automate workflows using Databricks Workflows, Airflow, or similar orchestrators.

2. Lakehouse Architecture

•  Implement and optimize Delta Lake–based storage, including:

o Delta tables
o Schema evolution
o ACID transactions
o Time travel and performance tuning

• Support data modeling for analytics, dashboards, machine learning, and regulatory reporting.

3. Data Quality, Security & Governance

• Enforce data quality checks using:  Delta expectations, unit tests, and validation frameworks.
• Implement metadata, lineage, and governance via: AWS Glue Catalog, Unity Catalog (preferred), or similar.
• Ensure compliance with banking standards: PII protection, access control, auditability.

4. Stakeholder Collaboration

• Partner with Data Analysts, Data Scientists, Business Units, and Risk/Compliance teams to deliver business-ready datasets.
• Translate business requirements into technical solutions that align with enterprise data strategy.

5. Operational Excellence

• Monitor pipeline performance and optimize cost and compute (e.g., Databricks cluster
• policies).
• Troubleshoot production issues, ensuring platform stability and SLAs.
• Apply DevOps practices, CI/CD pipelines (Azure DevOps, GitHub Actions, Bitbucket etc.).

Qualifications
Required

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or relatedfield.
• 2–5+ years of experience in data engineering.
• Strong hands-on skills with:

o AWS: S3, Glue, Lambda, IAM, Step Functions, Kinesis/MSK
o Databricks: PySpark, Spark SQL, Delta Lake, Workflows
o Python & SQL
o Spark

• Solid understanding of data modeling (relational, dimensional, domain-driven).
• Experience working in large-scale, distributed data environments.
• Preferred
• Experience in banking or financial services (core banking, payments, lending, regulatory reporting).
• Familiarity with:

o Unity Catalog
o Streaming architectures
o Terraform or AWS CDK
o Data quality frameworks (Great Expectations, Deequ, Databricks expectations)

• Experience working in regulated environments with strict compliance and security controls.

Key Skills

• Strong analytical and problem-solving abilities.
• Ability to work in collaborative, cross-functional teams.
• Clear communication skills with both technical and non-technical stakeholders.
• Proactive mindset and willingness to improve existing systems.

PHÚC LỢI

• Competitive salary commensurate with skills and contributions.

• Quarterly and annual performance-based bonuses, project completion bonuses, and annual salary review and adjustment.

• In addition to base salary, other income includes overtime pay, lunch allowance, and business trip allowances.

• Social insurance and health insurance in accordance with State regulations.

• Periodic health check-up once a year.

• Annual leave and public holidays in accordance with State regulations, with full pay.

• Company covers expenses for job-related training courses required each year.

• Rich extracurricular activities: football club, outings and excursions, birthday celebrations, and trade union activities.

• Working location: Quang Trung, Hanoi.