Junior Data Engineer
Hạn nộp hồ sơ: 01/11/2026 (Còn 16 ngày)
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Mô tả công việc
Mô tả Công việc
1. BI & Superset Platform Development (30%)
Design, build and maintain Superset dashboards and reports based on approved business KPI definitions.
Configure Superset datasets, metrics, filters, and user roles / row-level security.
Optimize query and dashboard performance through caching, pre-aggregated tables and SQL tuning.
2. Data Pipelines & Data Modelling (20%)
Assist in developing, operating, and maintaining end-to-end data pipelines (ETL/ELT),
Write, test, and maintain transformation, validation, and enrichment logic using Python and SQL.
Ingest data from various internal databases, event streams, and third-party APIs.
3. Data Quality, Monitoring & Troubleshooting (30%)
Monitor pipeline health, logs, and alerts
Validate and reconcile dashboard figures against source systems and official business reports, then investigate and resolve any discrepancies.
Carefully troubleshoot and resolve script errors, performance lags, and data discrepancies.
4. Stakeholder Collaboration & Documentation (20%)
Collaborate cross-functionally to clarify stakeholder requirements and KPI logic, and support smooth, reliable releases to production.
Provide basic guidance to business users on using Superset.
Maintain technical documentation, the data dictionary and metric definitions.
1. BI & Superset Platform Development (30%)
Design, build and maintain Superset dashboards and reports based on approved business KPI definitions.
Configure Superset datasets, metrics, filters, and user roles / row-level security.
Optimize query and dashboard performance through caching, pre-aggregated tables and SQL tuning.
2. Data Pipelines & Data Modelling (20%)
Assist in developing, operating, and maintaining end-to-end data pipelines (ETL/ELT),
Write, test, and maintain transformation, validation, and enrichment logic using Python and SQL.
Ingest data from various internal databases, event streams, and third-party APIs.
3. Data Quality, Monitoring & Troubleshooting (30%)
Monitor pipeline health, logs, and alerts
Validate and reconcile dashboard figures against source systems and official business reports, then investigate and resolve any discrepancies.
Carefully troubleshoot and resolve script errors, performance lags, and data discrepancies.
4. Stakeholder Collaboration & Documentation (20%)
Collaborate cross-functionally to clarify stakeholder requirements and KPI logic, and support smooth, reliable releases to production.
Provide basic guidance to business users on using Superset.
Maintain technical documentation, the data dictionary and metric definitions.
Yêu cầu
Yêu Cầu Công Việc
Requirements:
Bachelor's degree in computer science, Software Engineering, Information Technology, or related discipline.
0 to 1 year of professional or internship experience in data engineering, software engineering, or backend development.
Fresh graduates with relevant capstone projects, coursework, or internships are welcome to apply.
Strong fundamentals in Python and SQL, with the patience and ability to step-debug code and resolve query performance issues.
"Data-first" mindset: A commitment to understanding business context, data semantics, and schema relationships before writing code.
Basic understanding of modern data design patterns, such as the Medallion Architecture (Bronze, Silver, Gold layers).
Ability to build clean, intuitive business intelligence dashboards and charts.
Basic familiarity with Git version control, Linux/Bash commands, and container basics (Docker).
Comfortable reading/writing technical documentation, communicating, and participating in stakeholder meeting with English communication.
Special Skills
High attention to detail: Meticulous regarding data accuracy, data types, and edge-case handling.
High coachability: An attentive listener who follows architectural direction, respects code conventions, and implements feedback from the lead effectively.
Ownership & discipline: Follows established guidelines and takes pride in clean,maintainable, production-ready work.
Nice to have
Direct hands-on experience with Apache Superset (or tools like Metabase, Tableau, Power BI).
End-to-end BI projects (academic, personal, or internship) covering raw ingestion to visualization.
Exposure to cloud platforms (AWS, GCP, or Azure).
Familiarity with workflow orchestrators (e.g., AWS Step Functions, Apache Airflow).
Requirements:
Bachelor's degree in computer science, Software Engineering, Information Technology, or related discipline.
0 to 1 year of professional or internship experience in data engineering, software engineering, or backend development.
Fresh graduates with relevant capstone projects, coursework, or internships are welcome to apply.
Strong fundamentals in Python and SQL, with the patience and ability to step-debug code and resolve query performance issues.
"Data-first" mindset: A commitment to understanding business context, data semantics, and schema relationships before writing code.
Basic understanding of modern data design patterns, such as the Medallion Architecture (Bronze, Silver, Gold layers).
Ability to build clean, intuitive business intelligence dashboards and charts.
Basic familiarity with Git version control, Linux/Bash commands, and container basics (Docker).
Comfortable reading/writing technical documentation, communicating, and participating in stakeholder meeting with English communication.
Special Skills
High attention to detail: Meticulous regarding data accuracy, data types, and edge-case handling.
High coachability: An attentive listener who follows architectural direction, respects code conventions, and implements feedback from the lead effectively.
Ownership & discipline: Follows established guidelines and takes pride in clean,maintainable, production-ready work.
Nice to have
Direct hands-on experience with Apache Superset (or tools like Metabase, Tableau, Power BI).
End-to-end BI projects (academic, personal, or internship) covering raw ingestion to visualization.
Exposure to cloud platforms (AWS, GCP, or Azure).
Familiarity with workflow orchestrators (e.g., AWS Step Functions, Apache Airflow).
Quyền lợi
Laptop
Chế độ bảo hiểm
Du Lịch
Chế độ thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Nghỉ phép năm
Chế độ bảo hiểm
Du Lịch
Chế độ thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Nghỉ phép năm
Thông tin chung
- Thu nhập: Cạnh tranh
Việc làm tương tự khác
Wall Street English
Xem trang công ty- Địa chỉ công ty: 21 Lê Quý Đôn, phường 6, quận 3, TPHCM
- Quy mô: Từ 501 - 1000 nhân viên
- Lĩnh vực: Giáo dục / Đào tạo
Thông tin công việc
Vị trí:
Nhân viên
Hình thức làm việc:
Toàn thời gian
Việc làm tương tự
Cảnh báo dấu hiệu lừa đảo tuyển dụng
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Hứa hẹn trúng tuyển 100%
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