Job Requirements
Skills
Job benefits
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Flexible work hours
Productivity curve is not something steady and consistent as it depends on each person's unique traits and preferences. At our company, as long as your team is in sync and your goal is hit, you can flexibly decide when you want to work.
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Remote work options
Thanks to technology, we no longer have to be physically present at the office to be productive. Joining our company allows you to work anywhere without place-constraint.
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Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
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Team-building events
Our company simply cannot function well without teams of people working together. That said, we provide numerous team-building activities and events for you and your team to nurture meaningful relationships between every individual.
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Job description for Data Engineer at Pt Solusi Teknologi Niaga
- Construct and maintain efficient data pipelines + warehouses for data collection
- Develop necessary scripts/mini-apps to run data product/data Platform
- Provide recommendations to improve data quality
- Ensure and support the data architecture utilized by data scientists, BI Team, and product team
- Development of data processes for data modeling, mining, and data production
- 1 year or more experience with exposure to Big Data, Real-time data pipelines, ETL processes and supporting tools/framework such as Airflow, etc
- Familiar with big data technologies and expert in SQL of all flavors: BigQuery, PostgreSQL, MySQL
- Solid understanding of Linux, networking, bash scripting
- Knowledge of indexes, index management, and statistics
- Understands the concepts related to data warehousing, software integration tools, and business intelligence
- Experience with installation, configuration, and stabilization of medium- to large-scale ETL systems
- Have ETL experience with complicated coding and maintenance in any ETL tools
- Having fundamental knowledge about data modeling and data infrastructure
- Preferably familiar with cloud-based infrastructure, varying databases, security concerns would be an advantage
- Desire to learn data and cloud-based infrastructure is more important
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