Tuyển dụng Senior Data Engineer (Nghỉ T7-CN | GIMO Care | 100% Lương Thử Việc) tại Hà Nội

About the Role

You will design, build, and operate Gimo’s lakehouse-based Data Platform end-to-end. From ingesting operational data out of MySQL, BigQuery, SharePoint, Jira, and external sources; through the data transformation layers on Amazon S3; into Amazon Redshift, DuckDB, and other downstream consumers.

You will work closely with Data Analysts, Product Owners, Risk, Operations, and Growth teams to turn raw operational data into reliable, well-modeled, timely datasets that the whole company can trust.

Key Responsibilities

• Ingestion & CDC: Build and operate data pipelines that ingest data from multiple sources (Amazon Aurora, AWS RDS, GCP BigQuery, SharePoint, Jira, and other 3rd party services).
• Lakehouse Storage: Manage layered lake houses on Amazon S3.
• Transformation & Modeling: Develop dbt models based on Kimball's Dimensional Modeling Techniques.
• Orchestration: Author and maintain Apache Airflow pipelines on the self-hosted EC2 cluster, using the in-house DAG factory pattern to generate ingestion, transformation, and export DAGs. Coordinate dependencies across Lambda, ECS dbt, DuckDB, Redshift, and SageMaker; manage retries, SLAs, and recovery.
• Data Warehouse: Operate the dual warehouse setup. Amazon Redshift for large-scale analytics and Power BI reporting; DuckDB for near real-time operational dashboards in Metabase. Tuning workloads on both Redshift and DuckDB to optimize performance and cost.
• Serving & Consumption: Deliver curated datasets to downstream BI tools (Metabase ,Power BI), alerts and reports services (Lark, Teams, and Email), and external services (MoEngage).
• Data Governance & Catalog: Maintain the Data Catalog (AWS Glue Data Catalog, DataHub).
• Reliability, Cost & Observability: Monitor pipeline freshness, volume, and data quality; instrument alerts through Lark; run postmortems; identify and remove single points of failure; optimize S3 / Lambda / Redshift, and other related services cost.
• Platform Optimization: Continuously improve accuracy, scalability, performance, and reliability of the platform; contribute to modernization efforts

Yêu cầu công việc

Must to have:

• Educational Background: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• SQL: Advanced SQL like window functions, CTEs, MERGE/UPSERT, query tuning, etc. Comfortable with at least one columnar warehouse dialect (Redshift, BigQuery, Snowflake, or DuckDB).
• Programming: Solid Python for data engineering. Experience writing production-grade ETL/ELT code, not just notebook scripts.
• AWS Data Stack: Hands-on experience with Amazon S3, AWS Lambda, Amazon Redshift, IAM, and CloudWatch. Comfortable operating serverless pipelines and reasoning about Lambda limits.
• Orchestration: Practical experience with Apache Airflow like DAG authoring, Operators, XCom, retries, SLAs, and troubleshooting scheduler / worker issues.
• Pipeline Design: Proven experience designing and building ETL / ELT pipelines, CDC ingestion, and dimensional data models.
• Data Warehouse Concepts: Solid understanding of columnar storage, partitioning, distribution/sort keys, and the lakehouse pattern (Raw / Standardized / Curated).
• Data Governance & Security: Working knowledge of information security principles, PII handling, access control, and data retention policies.
• Ways of Working: Comfortable with Git-based workflows, code review, on-call rotation, incident response, and writing clear documentation.

Nice to have:

• Hands-on experience with dbt.
• Experience with DuckDB (embedded analytics, Parquet/S3 querying, micro-batch pipelines).
• Familiarity with GCP BigQuery and Google Firebase Analytics.
• Familiarity with AWS Glue Data Catalog, Redshift Spectrum, or Amazon Athena.
• Familiarity with AWS SageMaker batch inference and ML data pipelines for credit scoring.
• Some hands-on building reports with BI tools like Metabase and/or Power BI.
• Experience with customer engagement platforms (MoEngage, Braze, CleverTap).
• Experience scraping / integrating external sources via requests or Selenium.

BENEFIT

• Impact-Driven Work: Be part of a mission-driven fintech company that is transforming financial access for millions of underserved Vietnamese workers. The data you engineer directly powers credit decisions, disbursement, and customer engagement.
• Modern Data Stack: Work on a real production lakehouse that integrate Open-table format, dbt, DuckDB, Redshift, SageMaker and get ownership over meaningful parts of the platform.
• Growth Opportunities: Work in a fast-growth environment that values autonomy, accountability, and empowering individuals to take initiative and make decisions.
• Innovative Culture: Join a team that embraces experimentation, data, and technology to drive solutions, and encourages collaboration to challenge the status quo.
• Compensation & Benefits: Competitive salary, performance bonus, Gimo Care health insurance, free parking, annual salary review, minimum of 13 months' salary per year, and 100% salary paid during the probationary period and other benefits.

How to apply

If you are excited to kickstart your HR career with us, send your CV with the subject line: [Job position Application – Your Name].

We look forward to having you on board and growing together at Gimo!

Quyền lợi

• Thưởng: performance bonus minimum of 13 months' salary per year
• Chăm sóc sức khoẻ: Gimo Care health insurance
• Xe đưa đón: free parking
• Khác: annual salary review 100% salary paid during the probationary period other benefits