Data Engineer (Full English Speaking)
Design, develop, and maintain data pipelines, ETL = Extract, Transform, Load processes, and data integration workflows.
Experienced in designing, developing, and maintaining data warehouses, data modelling, data integration & mapping, and ETL processes.
Develop and optimize Data Warehouse solutions to support business intelligence and analytics requirements.
Create, manage, and improve data architecture, data models, and data structures to ensure scalability and performance.
Monitor, troubleshoot, and resolve data-related issues to ensure data accuracy, consistency, and availability.
Perform data quality validation and implement best practices for data governance.
Optimize database and ETL performance to improve efficiency and reliability.
Prepare technical documentation related to data architecture, data flow, and system integration.
Collaborate with the Data Manager and senior team members in designing and implementing enterprise data solutions.
Job Qualifications- Experience in the field of Data Engineering.
- Proficient in using Python/R, Talend, and other relevant data tools.
- Familiar with databases:
MySQL, PostgreSQL, and MongoDB. - High integrity and commitment.
- Willing to work full-time from the office (Full WFO).
PT. IDX CONSULTING
Jakarta,
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