Data Engineer jobs in Indonesia
Data Engineer
Bibit.id
T&T Senior Consultant - Artificial Intelligence & Data (Data Engineer) - ID
Deloitte PLT
T&T Consultant - Artificial Intelligence & Data (Data Engineer) - ID
Deloitte PLT
Data Engineer
Dexa Group
Senior AI & Data Engineer Consultant
Deloitte PLT
Discover more opportunities than anywhere else. Find more jobs nowMid-Level Engineer, Data - Remote
Jobgether
Remote Data Engineer Role - Mid-Level
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Remote Data Engineer Senior
Jobgether
Connect with headhunters to apply for similar jobsRemote BI Data Engineer
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Senior Remote Data Engineer — Scale Big Data on the Cloud
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Remote Data Engineer - Pipelines & Cloud (Banking)
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Data Engineer (IT Consulting)
Luminare Consulting
Data Engineer
PT.Japfa Comfeed Indonesia
Lead Data Scientist & AI Engineer
Mekari
Data Engineer: Build Scalable Data Pipelines & Insights
Bibit.id
BI Data Engineer - ETL Pipelines & Data Warehouse
Cermati.com
Data Engineer (ETL)
PT Lawencon Internasional
Data Engineer - Cloud ETL & Data Warehouse (Onsite)
Dexa Group
Data Engineer
Job summary
A leading investment platform in Jakarta Selatan seeks a Data Engineer to develop and maintain data architectures and pipelines. Responsibilities include constructing data warehouses, developing data analysis tools, and ensuring data quality. Candidates should have a minimum of 2 years' experience with Big Data, Cloud Services like GCP and BigQuery, and strong SQL skills. Join us to provide valuable insights for business decision-making in a dynamic environment.
Qualifications
- Minimum 2 years of experience with Big Data and real-time data pipelines.
- Familiar with Cloud Services, especially GCP and BigQuery.
- Strong skills in SQL and data querying.
Responsibilities
- Construct and maintain data pipelines and warehouses.
- Develop scripts for data analysis.
- Conduct testing on data platforms.
Skills
Tools
Bibit.id is a platform to help you to start your investment in mutual fund in a very simple way.
We are looking for a Data Engineer to develop, construct, test and maintain architectures, such as databases and large-scale processing systems. The data engineers will need to recommend and sometimes implement ways to improve data reliability, efficiency, and quality. This position will need to ensure that the architecture that is in place supports the requirements of the data scientists and the stakeholders, the business.
Responsibilities:
- Construct and maintain efficient data pipelines + warehouses for data collection
- Develop necessary scripts/mini-apps to run data analysis
- Conduct tests on large scale data platforms.
- Provide recommendations to improve data quality.
- Ensure and support the data architecture utilized by data scientists and analysts.
- Development of data processes for data modeling, mining, and data production.
Requirements:
- Working experience of at least 2 years with exposure to Big Data, Real-time data pipelines, ETL processes and supporting tools/framework such as Airflow etc
- Experienced in Cloud Service environment, especially GCP + BigQuery. Skill in other Cloud Services is a big plus.
- Experienced third party behaviour analytics tools such as Firebase / Moengage / CleverTap etc
- Experienced in working with RDBMS & Non-RDBMS datastores.
- In conjunction with the requirement above, excellent skills in writing efficient querying language especially SQL
- Experienced in utilizing popular Visualization Tools such as Tableau / Holistics / Metabase etc
- Skilled in Python programming
- Skilled in Pig Latin is a plus
- Understand how to analyze & utilize data in order to provide value/insights for company decision making.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.