Senior Data Engineer
Jakarta Selatan, DKI Jakarta
Posted 1 minggu yang lalu | Data Analyst
Job Type :
Job Function :
Manager / Senior Manager / Department Head
Bachelor Degree - S1
Kitabisa.com, Indonesia’s largest crowdfunding platform for social and
personal causes is seeking a data leader to set up and kickstart our Business
Intelligence team.You will build a fintech product that impact millions of
Be part of team that responsible in building, deploying, and monitoring our data
architectures such as databases and data pipelines.
As part of the Business Intelligence team, your goal is to ensure that the
Kitabisa team has ready access to quality reports, dashboards and data to
facilitate business decision making to their best capabilities.
1. Develop a strong understanding of Kitabisa data warehouse and pipeline in
order to provide the right data to business users
2. Build reports, ad-hoc queries and dashboards as needed by high level
management in order to monitor business health and seek new opportunity to
further grow our business
3. Build internal tools and automated process to reduce time spent by the team
to solve ad-hoc requests
4. Be a trusted business advisor in terms of how to use data in the most
effective manner to solve problems, and not just being reactive to requests
5. Contribute to the learning and development of the BI team. Continuous
learning is a requirement within the team--we have to always be growing
1. Bachelor degree in Computer Science or Information Technology
2. 3 years or more experience performing data warehouse logical modeling and
architecture designing. Preferably having past experience in
3. Familiar with big data technologies and expert in SQL of all flavors:
BigQuery, PostgreSQL, MySQL
4. Strong team player and collaborator
5. Having high level of responsibility and resilience in dealing with issues
6. Preferably familiar with big data infrastructure (such as Kafka, Spark,
etc.), cloud-based infrastructure, varying databases, security concerns
would be an advantage.
7. Experience working with data infrastructure will be valuable, but your
desire to learn data infrastructure is more important.
8. Having systems operational experience is a bonus, but not required.
9. Understands the concepts related to data warehousing, software integration
tools and business intelligence.
10. Experience with installation, configuration and stabilization of medium- to
large-scale ETL systems.
11. Have ETL experience with complicated coding and maintenance in any ETL
12. Having fundamental knowledge about data modeling, data infrastructure and
13. Experience in one or more programming language, including but not limited
to Java, Scala, Python.
14. Having fundamental knowledge about RDBMS (index, partition, shard, etc).
BPJS Kesehatan & Ketenagakerjaan
Free Breakfast & Fruit Everyday
Allowance for training, workshops, conferences & anything to keep you leveling up
IDR 15.000.000 - 25.000.000
LAMAR POSISI INI
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Company Industry : Internet
LOWONGAN YANG SERUPA
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