Alodokter is the #1 digital health company in Indonesia. Launched in 2014, Alodokter brings high-quality medical services to its 27+ million Monthly Active Users by providing an integrated mobile solution for patients and doctors.
We empower patients and doctors with better knowledge to help them take better decisions:
- More than 550K monthly teleconsultations between doctors & patients with 800+ 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.
Here at Alodokter, we are dedicated to help Indonesian finding the finest health services. We hire people who are passionate, engaging and genuinely dedicated to help others. We train our team to be knowledgeable and highly skilled and reward the value they bring to Alodokter.
We are seeking a highly motivated and talented Junior Data Engineer to join our dynamic team. As a Junior Data Engineer, you will play a critical role in designing, implementing, and maintaining data pipelines to support our data processing and analytics needs. This is an excellent opportunity for a recent graduate who is passionate about data engineering and eager to learn and grow in a collaborative environment.
**Responsibilities**:
Design, develop, and maintain data pipelines to extract, transform, and load data from various sources using Python and Apache Airflow.
Collaborate with cross-functional teams to understand data requirements and implement solutions to address business needs.
Perform data cleaning, manipulation, analysis using Python libraries such as Pandas.
Write and optimize SQL queries to query and manipulate data in relational databases.
Create and maintain documentation for data pipelines, processes, and procedures.
Monitor and troubleshoot data pipeline performance issues, ensuring data integrity and reliability.
Bachelor's degree in Computer Science, Engineering, or a related field.
Having 0 - 2 years work experience in related field
Proficiency in Python programming language.
Basic understanding of data manipulation and analysis techniques.
Familiarity with SQL for querying and manipulating relational databases.
Basic understanding of data pipeline concepts and workflows.
Knowledge of Apache Airflow or willingness to learn.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork skills.
**Preferred Qualifications**:
Experience with version control systems such as Git.
Familiarity with cloud platforms such as GCP.
Knowledge of big data technologies such as Hadoop and Spark.
Experience with containerization technologies such as Docker.
Eagerness to learn and adapt to new technologies and tools in the field of data engineering.