The Data Engineer designs, builds, and maintains scalable data pipelines and custom automation workflows across GCP, Big Query, Apache Airflow, and Kubernetes.
Key Responsibilities:
Pipeline Development: Build and maintain a highly performance, robust and scalable ETL/ELT pipelines to ingest data from relational/No
SQL databases and third-party APIs into central data warehouses.
Workflow Automation: Orchestrate job dependencies, schedules, and containerized tasks.
Operational Process Automation: Build and maintain custom automated workflows, scripts, and business logic to streamline operations and automate routine administrative tasks.
Data Quality & Governance: Maintain data dictionaries, data lineage, and automated validation checks to ensure high data integrity and accuracy, while managing access control and ensuring compliance with data privacy regulations.
System Reliability & Troubleshooting: Implement logging, auditing, error handling, and monitoring to detect, alert, and recover from pipeline failures while ensuring system health.
Cross-Functional Collaboration: Partner with Product, Data, and Dev Ops teams to build reliable data infrastructure and maintain clear technical documentation.
Qualifications:
Experience: 3–5+ years of hands‑on experience as a Data Engineer role.
Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent practical experience).
Hard
Skills:
Data Modelling: Dimensional Modeling, Multi‑Layer Architecture, Data Lineage & Governance.
Languages & Databases: Advanced Python, SQL, MongoDB, and REST API/Webhook integrations.
Engineering Practices: Git/version control, CI/CD pipelines, logging, auditing, error‑handling frameworks, and IAM/Access Management basics.
Soft Skills:
Troubleshooting & Problem Solving: Strong analytical skills with a focus on auditability, issue resolution, and system reliability.
Detail-Oriented: High attention to detail regarding data accuracy, validation, and process automation.
Self-Driven & Collaborative: Able to work independently with minimal oversight while collaborating effectively within a team environment.
Unlock job insightsAlodokter is the #1 health super apps in Indonesia. Launched in 2014, Alodokter brings high-quality medical services to its 20 million monthly active users by providing an integrated mobile solutions for patients and doctors.
We empower patients and doctors with better knowledge to help them take better decisions:
- More than 300K monthly chats between doctors and our 500+ doctors in our mobile app
- Largest online booking of doctors and hospitals platform in Indonesia
- Most complete medical content database for patients and doctors in Indonesia
We believe that medical knowledge can help people take better decision for their personal and family health.
Alodokter is the #1 health super apps in Indonesia. Launched in 2014, Alodokter brings high-quality medical services to its 20 million monthly active users by providing an integrated mobile solutions for patients and doctors.
We empower patients and doctors with better knowledge to help them take better decisions:
- More than 300K monthly chats between doctors and our 500+ doctors in our mobile app
- Largest online booking of doctors and hospitals platform in Indonesia
- Most complete medical content database for patients and doctors in Indonesia
We believe that medical knowledge can help people take better decision for their personal and family health.
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