Lead Data Engineer

1 week ago


Jakarta, Indonesia Indodana Full time

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**:

- We want to reduce the time for productionizing experimental machine learning features to 1 day"
- We want to completely automate the credit approval process while maintaining an accuracy of >90% when compared with manual approval"
- They should be able to translate the high level design into a series of tasks that can be executed by other software engineers working in parallel
- The high level designs are usually design documents consisting of relevant block diagrams, UML diagrams meant to be consumed by other engineering leaders and software engineers. They must be able to work with international teams effectively. They will be required to communicate with:

- Clients who may not necessarily be software engineers (marketing teams, business development team etc)
- Software engineers and tech leads to communicate the design in a simple yet accurate language without compromising details.
- 10% of the time project management, 20% of the time doing code review and mentorship, 20% of the time coding (evaluating technologies, doing PoC, etc) 50% of the time requirement gathering, high level design, low level design, roadmap etc

**Qualifications**:
The following technical skills would be useful:

- Should have a minimum of 5 yrs of experience in data engineering.
- Strong hands on experience in java, python is required. Must have shipped multiple projects with a major hands on contribution to each project.
- Experience in Big data technologies: hadoop ecosystem (map reduce, spark, kafka)
- Experience in different storage technologies: OLTP like postgres, OLAP like redshift, Google bigquery, NoSQl like redis, hbase, kafka
- Familiarity with machine learning algorithms and concepts (gradient descent, logistic regression) and software libraries like pandas, tensorflow, etc


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