Data Engineer
1 week ago
Company Description
Indodana (PT Artha Dana Teknologi) is a OJK-licensed financial technology company that operates a credit marketplace for peer-to-peer loans. Our mission is to achieve financial inclusion by enabling lenders to provide loans to the 100 million underbanked Indonesians.
Leveraging sophisticated big data and artificial intelligence technologies, we connect hundreds of lenders with creditworthy borrowers every day. Our team has combined over 25 years of experience in world class financials, technology and payment companies, such as SoFi, LendingClub, Microsoft, Google, Bank Permata, and DOKU. Together, we are working hard to provide our borrowers with accessible loans and our investors with attractive returns.
**Job Description**:
- Developers will work with other developers to deliver big projects end to end. The team may have international developers.
- Engineers will be responsible for talking with end users to figure out requirements, propose high level design, get buy-in from other leads and develop a plan that can be executed by other engineers.
- Engineers will also play a hands-on role in implementation of particularly complex software pieces, debugging tricky issues, as well as perform research on new technologies
**Qualifications**:
- Strong technical knowledge in at least one of the following ecosystems: Java, Python, Javascript. Experience designing batch processing systems is valuable but not necessary.
- Experience in some of the Big data technology stack: hadoop ecosystem (mapreduce, spark, kafka) or GCP ecosystem sucha as BigQuery, PubSub or AWS ecosystem such as RedShift etc
- Work with multiple stakeholders to gather requirements, work on high level design and get buy-in from peers and stakeholders
- Translate high level design to specific steps that can be executed by other developers
- Mentor and provide technical leadership to other engineers including system design, code reviews, etc
- Familiarity with machine learning algorithms and concepts (gradient descent, logistic regression) and software libraries like pandas, tensorflow, etc
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