AlamatOur client is a one of the biggest automotive companies in Indonesia.
Currently looking for a Data Engineer that would like to join them and working in Sudirman area.
Qualifications:
- Education Qualification: S1 from from reputable university from Computer Science, Information System or Mathematics preferred• +2 years work experience as Data Engineer in digital companies preferred
- 4 years work experience
Competencies:Software competencies
- Experience with cloud computing platform (AWS, GCP, etc)
- Experience in designing, implementing, and monitoring big data analytics solutions.
- Experience with Phyton, R language
- Experience with database and data warehousing
- Experience working with data infrastructure will be valuable, but your desire to learn data infrastructure is more important
- Preferably familiar with big data infrastructure (such as Kafka, Spark, etc.), cloud based infrastructure, varying databases, security concerns would be an advantage;
Soft skills
- Excellent communication skills
- Strong collaborative skills
- Resilience and passionate
- Analytical skills
Job Descriptions:
- Design, develop, test and maintain highly scalable data infrastructure (Analytics Architecture)
- Build data quality checks: Monitor data collection, storage and retrieval processes
- Explore and integrate new big data technologies and software engineering tools into current infrastructures
- Collaborate with Data and IT team members in enhancing the data platform
- Develop real-time and batch data ingesting and processing pipelines to be used for analysis, machine learning, dashboards, alerts and visualizations.
- Work closely with partner teams to establish the optimal technical solution to business problems
- Monitor & manage data pipelines, ensuring accuracy and stability
Shared Job Descriptions:
- Timely delivery and quality of analytics output to related product➔ Together with Product, Data and Tech team
- Design, develop and maintain system architecture➔ Together with Tech team
- Ensure compliance to data governance➔ Together with Data and Tech team
Individual KPI:• % time to implementation• % accuracy of system to output• # tables in beta testing vs. production• % budget spending
