Job Requirements
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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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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Insurance
Unexpected things may happen at unexpected times. We cover basic insurance costs for you and your loved ones in case of emergencies or unfortunate events. You can also upgrade your plan any time you want.
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Gifts & Vouchers
We believe that every contribution you make, big or small, counts and deserves appreciation. For your hard work, we show recognition through delightful gifts and vouchers that you can use to treat yourself.
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Skills
Job description for Data Engineer at Skolla EdTech
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and 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.
- 1-3 years of experience as a Data Engineer or any data-related field
- Experienced in querying with MySQL and working with MySQL database system
- Experienced in MySQL administration and replication will be preferred.
- Experienced in using any BI reporting tools (i.e: Tableau, MS Power BI, Google Data Studio) is benefit, Experienced with Google Data Studio will be preferred
- Proficient in working with Microsoft Excel Formulas
- Have understanding in any ETL tools and Python for Data Science will be preferred
- Ability to translate business requirements into technical is benefit.
- Experience in methodologies and processes for managing large-scale databases is benefit
- Willing to work hybrid in Mampang Prapatan, South Jakarta
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