Our 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
• 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;
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
• 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
• 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