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Principal Data Engineer (AI)

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Data Analyst Engineering SPARK Airflow Data Engineer Data Analysis

Icon Location Lokasi
Ho Chi Minh

Keuntungan

Asuransi sosial penuh Asuransi sosial penuh
Waktu kerja yang fleksibel Waktu kerja yang fleksibel
Perjalanan/trip perusahaan Perjalanan/trip perusahaan
Laptop/desktop untuk bekerja Laptop/desktop untuk bekerja
Bonus kinerja Bonus kinerja
Makan siang dan camilan gratis Makan siang dan camilan gratis
Asuransi kesehatan tambahan Asuransi kesehatan tambahan
Gaji bulan ke-13 Gaji bulan ke-13
Peninjauan gaji tahunan Peninjauan gaji tahunan
Manfaat lain Manfaat lain

Gambaran besar dan Tanggung jawab pekerjaan

- Develop and operate cross-company data infrastructure. - Manage data integration and data pipelines. - Aggregate data from various internal products, services, and - CRM tools into a data lake. - Appropriately distribute the data collected in the data lake to analysis and ML platforms. - Build and maintain data analysis infrastructure. - Optimize DWH performance. - Ensure data quality.

Keahlian dan pengalaman yang dibutuhkan

- Good at English (four skills) AI software development - Experienced developing AI algorithm or understand how it works from scratch - Developed an Application Programming Interface as an internet service - Operated and manipulated an API service by using an appropriate software - Controlled and tuned accuracy through operating data Data engineering - At least 5 years as Data Engineer - Data Warehousing - ETL Processes - Cloud Platforms (AWS, Azure, GCP) - Python - SQL - Big Data Technologies (Hadoop, Spark, Kafka) - Data Modeling - Data Quality - Data Security - Version Control (Git) Tools - Configuration management: Terraform - CI/CD: GitHub Actions - Monitoring and logging: Datadog, Cloud Monitoring, CloudWatch - Project management: JIRA Cloud, Miro,... - Documentation: Kibela, Google Workspace - Spark: 2-3 years of experience - Airflow: 1 year (As a user not administrator) Cloud architecture - Experienced developing a system by using some cloud services on AWS, GCP or Azure(AWS is preferable). - Understood cloud service components from architectural perspective(To know what can do, how it works and what should be paid attention) - Designed and integrated a system with appropriate security.

Mengapa kandidat disarakan untuk posisi ini

Caring Mental & Physical Recreation: - Hybrid working: 2 days at the office and 3 days WFH - Working hour: Flexible start 8AM-9AM from Mon-Fri - Full salary in probation - Insurance: Applied from Probation period: - Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary) - Private health insurance & accident insurance. From Managing level: extra for family members - Bonus: 13th month salary - 16 - 24 paid days off and more - Paternity leave: Extra 5 days - Annual company trip; Quarterly team building - Billiards & Running club - Annual health check - Well-equipped facility: Macbook pro, additional monitor,.. Caring Career & Development: - Clear Career path - Foreign language & International technology-related certifications sponsoring - External & internal training courses - Soft-skill workshops - Tech seminars - Monthly and biannual Recognition Awards - Performance & salary review: twice/year (Jun & Dec)

Keahlian dan pengalaman yang disarakan

- Good Communication skill and open-mind

Melapor kepada

Engineering Manager

Proses Wawancara

3 rounds: Round 1: Technical interview (90’) Round 2: Culture fit (60’) Round 3: Bar Raiser (Round 1 - Round 2: can be swapped due to project urgency)

Tony Nguyen

Headhunter | Recruiter
Verified
employee 5735 candidates
cup 748 interviews
health 51 offers

Tony Nguyen

Headhunter | Recruiter
Verified
Icon employee 5735 candidates
Icon cup 748 interviews
Icon health 51 offers
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