Job Descriptions:
- Design and implement key components for highly scalable, distributed, fault-tolerant data collection and analysis system built for handling data on a large scale
- Build out scalable and reliable ETL or ELT pipelines and processes to ingest data from a large number and variety of data sources
- Maintain and optimize the performance of data analytics infrastructure to ensure accurate, reliable, and timely delivery of key insights for decision making
- Streamline data access and security to enable data scientists and analysts to easily access data whenever they need to
- Support other teams by guiding data usage, processing, and how they can best leverage the platform you are building
- Create and maintain Machine Learning pipelines that are scalable, robust, and ready for production.
Requirements:
- Have a degree or higher in Computer Science, Software Engineering, Information Technology or other related technical disciplines.
- 3-5 years of relevant work experience, especially in building data infrastructure from scratch (from raw data source to analysis-ready data)
- Analytical, data-driven, reliable, and results-oriented.
- Having strong skill & knowledge in ETL tools, database design, data APIs, algorithms and data structure.
- Successful track-record of database systems (SQL & NoSQL), cloud data warehousing solutions & data architecture knowledge.
- Know programming language such as Python, Scala, etc (nice to have).
- Familiarity with Google Cloud Platform and its Analytics Stack (BigQuery, Compute Engine, Cloud SQL, Cloud Storage, Networking).
- Familiarity with workflow orchestration like Airflow, DagSter, Prefect, etc.
- Knowledge in Data Science Project is big plus.
- An agile trait.
- Data Warehouse
- Relational Databases
- Data Visualization
- Data Science
- Machine Learning
- Data Management
- Big Data
At Youtap Indonesia, we are passionate, collaborative, innovative, adaptable and energetic.
Benefits and perks of working with us include:
Compensation: Bonuses, Competitive salaries
Family benefits: Paid maternity / paternity leave
Lifestyle: Casual dress code, Company outings, Flexible hours, Hybrid Working
Progression: Professional development
Welfare: Dental insurance, Health insurance, Wellness programs