Senior Data Engineer
Job Descriptions
- What will you do:
- Technical responsibility for data and data pipelines to ensure compliance with data standards, architectural standards, and achievement of documented requirements.
- Develop and maintain current state documentation and deliverables for data solutions.
- Maintain existing and new data solutions to ensure that they continue to meet user needs.
- Create data tools for data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Collaborate with the Product, Engineering, and Data team to facilitate access to data.
- Design, improve and manage the data warehouse and data structure in our client
Job Requirements
- Bachelor Degree in Computer Science, IT, Mathematics, or related field.
- Minimum 3-5 years experience as Data Engineer, Data Warehouse, Business Intelligence.
- Expert proficiency in Python, C++, Java, R, and SQL.
- Advanced knowledge and experience working with complex ETL, unstructured datasets, and data warehousing tools.
- Experience with cloud services such as GCP or AWS and Linux environment and storage architecture.
- Experience with workflow scheduler (azkabar / airflow).
- Familiar with big data and data engineering infrastructure.
- Excellent analytical and problem-solving skills.
- Good communication (both English & Bahasa Indonesia) and collaboration skills.
- Passionate about startup, innovation, and technology.
- Adaptable to dynamic, fast-paced environment and changing requirements.
Key Skills:
- Phyton, GCP/AWS, Airflow