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Mô tả công việc
Participate in a data engineering team which is responsible for POPS data landscape, including data architecture, data extraction and collection, data manipulation, feature engineering and other data-related product developments
Proactively perform research on related and/or assigned technologies, domains and techniques that are relevant to the practice or assigned by analytical leaders
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build scalable and reliable ETL pipelines and processes to assemble data from a large number and variety of data sources
Work with development team to enhance capabilities of internal analytics
Implement solutions and processes for management and governance across data quality metrics, metadata, lineage, data access rights and business definitions
Proactively perform research on related and/or assigned technologies, domains and techniques that are relevant to the practice or assigned by analytical leaders
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build scalable and reliable ETL pipelines and processes to assemble data from a large number and variety of data sources
Work with development team to enhance capabilities of internal analytics
Implement solutions and processes for management and governance across data quality metrics, metadata, lineage, data access rights and business definitions
Yêu cầu
At least 3 years of experience in handling large data sets and working with structured, unstructured and datasets
Familiarity with database systems as Mongo, MySQL, PostgreSQL
Experience with SQL, Python, bash shell scripts Experience with Spark and its features: Spark SQL, Spark streaming, structured streaming
A degree or higher in Computer Science, Software Engineering, Information Technology or other related technical disciplines.
Strong data engineering intuitive: understanding different data structure from abstract to physical view
Experience in ML projects is a plus.
Familiarity with database systems as Mongo, MySQL, PostgreSQL
Experience with SQL, Python, bash shell scripts Experience with Spark and its features: Spark SQL, Spark streaming, structured streaming
A degree or higher in Computer Science, Software Engineering, Information Technology or other related technical disciplines.
Strong data engineering intuitive: understanding different data structure from abstract to physical view
Experience in ML projects is a plus.
Quyền lợi
Flexible working hour, 12-16-day annual leaves.
Attractive annual bonus.
Premium health insurance for Team Lead/Manager/Director level.
Full insurances (health, social and unemployment) and competitive allowances (parking, transportation and telephone).
Free GYM service, team building budget, Happy-hour events and monthly activities
Company's congrats gifts on birthday, Wedding Day, Children's Day, Birth Deliver and other special occasions.
Opportunity to work in exciting and innovative/creative media projects.
Attractive annual bonus.
Premium health insurance for Team Lead/Manager/Director level.
Full insurances (health, social and unemployment) and competitive allowances (parking, transportation and telephone).
Free GYM service, team building budget, Happy-hour events and monthly activities
Company's congrats gifts on birthday, Wedding Day, Children's Day, Birth Deliver and other special occasions.
Opportunity to work in exciting and innovative/creative media projects.
Thông tin khác
Địa điểm làm việc
➢ 285 Cach MangThang 8 St., W.12, Dist. 10, Hồ Chí Minh (Hồ Chí Minh)
Ngành nghề
SQL Python
Tính chất công việc
Toàn thời gian
Yêu cầu về bằng cấp (tối thiểu)
Cao Đẳng
Yêu cầu kinh nghiệm
3 - 4 năm
➢ 285 Cach MangThang 8 St., W.12, Dist. 10, Hồ Chí Minh (Hồ Chí Minh)
Ngành nghề
SQL Python
Tính chất công việc
Toàn thời gian
Yêu cầu về bằng cấp (tối thiểu)
Cao Đẳng
Yêu cầu kinh nghiệm
3 - 4 năm
Thông tin chung
- Ngày hết hạn: 04/11/2021
- Thu nhập: Thỏa thuận
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