Lead Data Engineer
Mức lương: Thỏa thuận
Đã hết hạn nộp hồ sơ - 154 lượt xem
Ngày cập nhật: 03/10/2018
Thông Tin Tuyển Dụng
Mô tả công việc
You will play a critical role in leading the design and building of the underlying engineering and data infrastructure to support a wide range of machine learning and search capabilities. Your responsibilities include but not limited to
• Design/architecture large-scale distributed computing and data base infrastructure to support end-to-end data mining and machine learning solutions to support millions of consumers
• Lead development, coding, testing and debugging solution related to our Data solutions
• Improve/redesign current data model for explosive growth in data
• Develop, enhance and maintain the data pipeline - ingestion, transformation, storage, analysis and visualization using combination of open source and paid technology tools
• Implement automating data solutions including KPI reporting, streamlining integration of external data sources
• Design/architecture large-scale distributed computing and data base infrastructure to support end-to-end data mining and machine learning solutions to support millions of consumers
• Lead development, coding, testing and debugging solution related to our Data solutions
• Improve/redesign current data model for explosive growth in data
• Develop, enhance and maintain the data pipeline - ingestion, transformation, storage, analysis and visualization using combination of open source and paid technology tools
• Implement automating data solutions including KPI reporting, streamlining integration of external data sources
Yêu cầu ứng viên
• MS or PhD in Computer Science or equivalent degree (BS degree is OK with substantial working experience)
• 3+ years (preferred 5+) of experience in designing and developing distributed systems/applications, preferably in an eCommerce domain.
• Experience in architecture and building large-scale data pipelines which process millions of events per day using Java, Python, and/or SQL.
• Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
• In-depth knowledge of Big Data distributions and experience in SQL/NoSQL/BigQuery
• Familiarity with Airflow, Kafka and stream processing systems such as Storm, Spark and cloud Data stores such as Amazon Redshift
• Experience with cloud computing including AWS (or similar cloud solutions) infrastructure and services, micro-services architecture
• Should possess strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
• Direct experience or experience collaborating with data scientists to perform in data mining and machine learning would be a strong plus.
• Experience with MongoDB, Elastic Search, Business Intelligence and reporting tools would be a plus
• 3+ years (preferred 5+) of experience in designing and developing distributed systems/applications, preferably in an eCommerce domain.
• Experience in architecture and building large-scale data pipelines which process millions of events per day using Java, Python, and/or SQL.
• Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
• In-depth knowledge of Big Data distributions and experience in SQL/NoSQL/BigQuery
• Familiarity with Airflow, Kafka and stream processing systems such as Storm, Spark and cloud Data stores such as Amazon Redshift
• Experience with cloud computing including AWS (or similar cloud solutions) infrastructure and services, micro-services architecture
• Should possess strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
• Direct experience or experience collaborating with data scientists to perform in data mining and machine learning would be a strong plus.
• Experience with MongoDB, Elastic Search, Business Intelligence and reporting tools would be a plus
Quyền lợi được hưởng
- Competitive salary and bonus
- Social insurance, health insurance, unemployment insurance according to Labor Laws
- Professional, dynamic working environment
- Social insurance, health insurance, unemployment insurance according to Labor Laws
- Professional, dynamic working environment
Cách thức ứng tuyển
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Giới thiệu về công ty

CÔNG TY CỔ PHẦN GIGATUM VIỆT NAM
- Tại Hà Nội: Tầng 8, tòa nhà TNR, 54 Nguyễn Chí Thanh, Quận Đống Đa, Hà Nội - Tại Hồ Chí Minh: Lầu 5B, tòa nhà GB, 78-80 Cách mạng tháng tám, Phường 6, Quận 3, Tp HCM
- Tại Hà Nội: Tầng 8, tòa nhà TNR, 54 Nguyễn Chí Thanh, Quận Đống Đa, Hà Nội - Tại Hồ Chí Minh: Lầu 5B, tòa nhà GB, 78-80 Cách mạng tháng tám, Phường 6, Quận 3, Tp HCM
Gigatum is transforming consumer experiences in Vietnam by bringing together state-of-the-art mobile app design, social-networking, big data and Artificial Intelligence (AI) to create intuitive and personalized shopping experience for consumers and improve revenue generation for merchants. We enable friendly and easy ways to connect millions of consumers and local merchants. ...Chi tiết
Gigatum is transforming consumer experiences in Vietnam by bringing together state-of-the-art mobile app design, social-networking, big data and Artificial Intelligence (AI) to create intuitive and personalized shopping experience for consumers and improve revenue generation for merchants. We enable friendly and easy ways to connect millions of consumers and local merchants. In the center of our ecosystem is Clingme – Đi gần Chọn đúng, a mobile application with multiple features designed to improve consumer experience, including cash back, local search, product recommendation and review. We are celebrating our 4rd birthday with 3 rounds of funding; the latest is series A with 2.5 million USD investment. We have signed up world-class investors who are also our priceless advisors. We are a team of mobile product specialists; big data experts and football enthusiasts, passionate about building mobile products that make life more enjoyable. We are looking for a leader to join us in Hanoi. The Data Science and Engineering team of Gigantum is dedicated to help Clingme users to find and ultimately purchase the right products and services. We are tasked with tackling one of the most complex problems of e-commerce: bringing up the right products for the right consumer at the right time in milliseconds. We are looking for an experienced Data Engineer/Architecture to join our team to build analytics and machine learning infrastructure that supports e-commerce application of millions of consumers every day. Ẩn chi tiết
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CÔNG TY CỔ PHẦN GIGATUM VIỆT NAM
Địa chỉ: - Tại Hà Nội: Tầng 8, tòa nhà TNR, 54 Nguyễn Chí Thanh, Quận Đống Đa, Hà Nội - Tại Hồ Chí Minh: Lầu 5B, tòa nhà GB, 78-80 Cách mạng tháng tám, Phường 6, Quận 3, Tp HCM
Quy mô: 25-99 nhân viên