Workplace: 2nd Floor, 163 Tran Trong Cung St., Tan Thuan Dong W., Dist. 7
Direct reporting: Product Manager
Working time: 8:30 AM- 5:45 PM, Monday to Friday (Lunch break: 12:00- 13:15 PM)
WHAT YOU WILL BE DOING:
- Collaborate with cross- functional teams to translate business requirements into data- driven solutions
- Design, build, and optimize data pipelines, platform services, and architecture using advanced algorithms and techniques
- Deploy machine learning- based systems for abnormal detection and customer profiling
- Apply best practices and DevOps principles to implement agile data engineering processes.
- Ensure data quality, integrity, security, and performance using statistical methods and data validation techniques.
Job Requirements:
An equivalent of this educational requirement in working experience is also acceptable
Experience: At least 3 years in data engineering or similar role experience
Education: Bachelor’s degree (higher is preferred) in Computer Science, Data Analytics Engineering, Applied Mathematics, or any other technology- related field required with good grades.
Advanced Skills:
- Advanced knowledge of data systems and the ability to transform and shape large usable data sets
- Strong ability to reason about data structures and algorithms, complexity analysis with numerical & analytical skills, and problem- solving skills with engineering approaches
- Experience working with data crawling (client scripts, headless browsers,...), ETL, and data warehousing
- Proficient in Python (preferred), Java/Scala, or other programming languages
- Advanced RDBMS and NoSQL database design knowledge (stored procedures, function, trigger…), and understanding of data modeling
- Experienced with data visualization and dashboarding (Tableau, Power BI, Data Looker,...) is a plus
- Skills in mastering one of the types of databases (Postgres, MongoDB, Oracle, AzureSQL, …)
- Knowledge and experience with distributed data storage and processing, and big data technologies (Hadoop, Spark, Kafka, Hive, Elastic Search, HBase, Cassandra,...) is a plus
- Good knowledge of architecting large- scale data infrastructure in cloud platforms (Redshift, BigQuery, Azure… and Data Factory), DevOps automation frameworks (GCP Cloud Composer, Airflow, Apache,...), and tools (Amazon Glue, Amazon Lambda, Fivetran, dbt,...)
Soft Skills
- Teamwork
- Ability to communicate and convey information
Quality & Personality
Management & Leadership skills
- Integrity, responsible work
- Be willing to accept change and learn new things
