āđ€āļ‡āļ·āđˆāļ­āļ™āđ„āļ‚āļāļēāļĢāļ„āđ‰āļ™āļŦāļē

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāđƒāļŠāđ‰āļ„āļģāļŦāļĨāļąāļ

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŦāļĄāļ§āļ”āļŦāļĄāļđāđˆāļ‡āļēāļ™

āđ€āļĨāļ·āļ­āļāļŦāļĄāļ§āļ”āļŦāļĄāļđāđˆāļ‡āļēāļ™

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļ›āļĢāļ°āđ€āļ āļ—āļ˜āļļāļĢāļāļīāļˆ

āđ€āļĨāļ·āļ­āļāļ›āļĢāļ°āđ€āļ āļ—āļ˜āļļāļĢāļāļīāļˆ

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŠāđˆāļ§āļ‡āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™

āļ•āļąāđ‰āļ‡āđāļ•āđˆ
āļ–āļķāļ‡

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŠāļ·āđˆāļ­āļšāļĢāļīāļĐāļąāļ—

āļžāļīāļĄāļžāđŒāļŠāļ·āđˆāļ­āļšāļĢāļīāļĐāļąāļ—

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļĢāļ°āļ”āļąāļšāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™

āđāļŠāļ”āļ‡āļœāļĨ 1 - 20 āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™ āļˆāļēāļāļ—āļąāđ‰āļ‡āļŦāļĄāļ” 84 āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™
āļ—āļĩāđˆāļĄāļĩāļ„āļģāļ§āđˆāļē senior data engineer
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āļ­āļąāļžāđ‚āļŦāļĨāļ”āđ€āļĢāļ‹āļđāđ€āļĄāđˆāļ‚āļ­āļ‡āļ„āļļāļ“ AI āļ‚āļ­āļ‡āđ€āļĢāļēāļˆāļ°āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāđāļĨāļ°āđāļ™āļ°āļ™āļģāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļĩāđˆāļ”āļĩāļ—āļĩāđˆāļŠāļļāļ”āđƒāļŦāđ‰āļ„āļļāļ“
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ›āļ•āļ— āļŠāļģāļĢāļ§āļˆāđāļĨāļ°āļœāļĨāļīāļ•āļ›āļīāđ‚āļ•āļĢāđ€āļĨāļĩāļĒāļĄ āļˆāļģāļāļąāļ” āļĄāļŦāļēāļŠāļ™ 1
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ›āļ•āļ— āļŠāļģāļĢāļ§āļˆāđāļĨāļ°āļœāļĨāļīāļ•āļ›āļīāđ‚āļ•āļĢāđ€āļĨāļĩāļĒāļĄ āļˆāļģāļāļąāļ” āļĄāļŦāļēāļŠāļ™ 1

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

5 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Be focal point and accountable person to cater engineering digital solutions in each of key focus areas.
  • Provide implementation of engineering digital services through a range of digital methodologies, solutions.
  • Develop standard, guideline leveraging from engineering data best practice e.g. CFIHOS.etc.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļēāļ‡āļˆāļēāļ 2
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļēāļ‡āļˆāļēāļ 2

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒ āļžāļīāļˆāļēāļĢāļ“āļē āđāļĨāļ°āļ—āļšāļ—āļ§āļ™āļ§āļ‡āđ€āļ‡āļīāļ™āļŠāļīāļ™āđ€āļŠāļ·āđˆāļ­āđāļāđˆāļĨāļđāļāļ„āđ‰āļēāđƒāļ™āļāļēāļĢāļ‹āļ·āđ‰āļ­āļ‚āļēāļĒ āđ€āļ‡āļ·āđˆāļ­āļ™āđ„āļ‚āļāļēāļĢāļŠāļģāļĢāļ°āđ€āļ‡āļīāļ™ āđāļĨāļ°āļŦāļĨāļąāļāļ›āļĢāļ°āļāļąāļ™ āļ—āļĩāđˆāđ€āļŦāļĄāļēāļ°āļŠāļĄ āļ āļēāļĒāđƒāļ•āđ‰āļ„āļ§āļēāļĄāđ€āļŠāļĩāđˆāļĒāļ‡āļ—āļĩāđˆāļĒāļ­āļĄāļĢāļąāļšāđ„āļ”āđ‰ āļ•āļĨāļ­āļ”āļˆāļ™āļ•āļĢāļ§āļˆāļŠāļ­āļšāđāļĨāļ°āļ›āļĢāļąāļšāļ›āļĢāļļāļ‡āļ‚āđ‰āļ­āļĄāļđāļĨāļĨāļđāļāļ„āđ‰āļēāđƒāļ™āļĢāļ°āļšāļšāđƒāļŦāđ‰āļ–āļđāļāļ•āđ‰āļ­āļ‡ āļ„āļĢāļšāļ–āđ‰āļ§āļ™ āđāļĨāļ°āđ€āļ›āđ‡āļ™āļ›āļąāļˆāļˆāļļāļšāļąāļ™
  • āđƒāļŦāđ‰āļ„āļ§āļēāļĄāđ€āļŦāđ‡āļ™āļ”āđ‰āļēāļ™āđ€āļ„āļĢāļ”āļīāļ•āļāļĢāļ“āļĩāļāļēāļĢāļ‚āļēāļĒāļœāđˆāļēāļ™āļ„āļģāļŠāļąāđˆāļ‡āļ‹āļ·āđ‰āļ­āļ—āļĩāđˆāļĄāļĩāļŠāļ–āļēāļ™āļ°āđ€āļāļīāļ™āļ§āļ‡āđ€āļ‡āļīāļ™āđāļĨāļ°/āļŦāļĢāļ·āļ­āđ€āļāļīāļ™āļāļģāļŦāļ™āļ”āļŠāļģāļĢāļ°
  • āļžāļąāļ’āļ™āļē āļ›āļĢāļąāļšāļ›āļĢāļļāļ‡ āļĢāļ°āļšāļšāļāļēāļĢāļ›āļĢāļ°āđ€āļĄāļīāļ™āđ€āļāļĢāļ”āļāļēāļĢāļ„āđ‰āļēāđāļĨāļ°āļĢāļ°āļšāļšāļ‡āļēāļ™āļ”āđ‰āļēāļ™āļŠāļīāļ™āđ€āļŠāļ·āđˆāļ­ āđ€āļžāļ·āđˆāļ­āļĄāļĩāļĢāļ°āļšāļšāļāļēāļ™āļ‚āđ‰āļ­āļĄāļđāļĨāļ—āļĩāđˆāļ„āļĢāļšāļ–āđ‰āļ§āļ™ āļĢāļ§āļ”āđ€āļĢāđ‡āļ§ āđāļĨāļ°āļĄāļĩāļ›āļĢāļ°āļŠāļīāļ—āļ˜āļīāļ āļēāļžāđ€āļžāļīāđˆāļĄāļ‚āļķāđ‰āļ™
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 3
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 3

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŋ50,000 - āļŋ70,000, āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
  • Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
5 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ­āļēāļĢāđŒāđ€āļ­āļŠ 4
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ­āļēāļĢāđŒāđ€āļ­āļŠ 4

āļ—āļąāļāļĐāļ°:

Excel

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
  • Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
  • Collaborating with sales teams to identify market trends and opportunities for product promotion.
7 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 5
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 5

āļ—āļąāļāļĐāļ°:

Data Analysis, ETL, Data Warehousing

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
  • Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
  • Data Modeling: Design and implement data models that are optimized for scalability, ...
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 6
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 6

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing, enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.
  • Develop data pipeline automation using Azure technologies, Databricks and Data Factory
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 7
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 7
āļšāļķāļ‡āļāļļāđˆāļĄ, āļāļĢāļļāļ‡āđ€āļ—āļž, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ

āļ—āļąāļāļĐāļ°:

Big Data, ETL, SQL

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
  • Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
  • Maintain data dictionary, relationship and its interpretation.
7 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 8
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 8

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

3 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

ETL, DevOps, Automation, Big Data, SQL

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Data Pipeline Development: Design, implement, and optimize scalable ETL/ELT pipelines to ingest, transform, and store structured and unstructured data in a cloud environment (AWS is a core but not limit).
  • Machine Learning Pipeline Development: Work collaboratively with data scientists to productionize and maintain scalable machine learning services. The solutions encompass a variety of approaches, including traditional and near real-time machine learning, deployed across multi-state service architectures.
11 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 9
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 9

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

3 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
  • Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
  • 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 10
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 10

āļ—āļąāļāļĐāļ°:

Windows Server, VMware, DevOps, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Be accountable for the successful delivery of Microsoft Azure and M365 projects for enterprise customer including Windows server and Active Directory deployment.
  • Communicate and manage senior stakeholders across multiple business lines and suppliers.
  • Establish an understanding of the business, develop a deep understanding of business needs to create deployment and migration delivery plans.
3 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
Upload ResumeUpload Resume
āļ­āļąāļžāđ‚āļŦāļĨāļ”āđ€āļĢāļ‹āļđāđ€āļĄāđˆāļ‚āļ­āļ‡āļ„āļļāļ“ AI āļ‚āļ­āļ‡āđ€āļĢāļēāļˆāļ°āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāđāļĨāļ°āđāļ™āļ°āļ™āļģāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļĩāđˆāļ”āļĩāļ—āļĩāđˆāļŠāļļāļ”āđƒāļŦāđ‰āļ„āļļāļ“
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 11
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 11

āļ—āļąāļāļĐāļ°:

Cloud Computing, RESTful, JSON

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Bachelor or master s degree in computer and Telecommunication Engineering, Computer Science, IT or in a related field.
  • 8 - 13 years of experience in the Computer or Telecommunication field.
  • Good Knowledge on cloud computing & edge computing technology.
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 12
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 12
āļšāļķāļ‡āļāļļāđˆāļĄ, āļāļĢāļļāļ‡āđ€āļ—āļž, āđ„āļ­āļ—āļĩ / āđ€āļ‚āļĩāļĒāļ™āđ‚āļ›āļĢāđāļāļĢāļĄ ,āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ āđ„āļ­āļ—āļĩ / āđ€āļ‚āļĩāļĒāļ™āđ‚āļ›āļĢāđāļāļĢāļĄ,āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

6 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Oracle, Java, SQL, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Be familiar with oracle technology such Oracle DB and related programming language such as java, pl/sql and linux script.
  • Be advantage if you are familiar with Oracle Retail Suite or Oracle ERP.
  • Create data flow/system flow/detail design to make the team clear in backlog and acceptance criteria.
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 13
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 13

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

5 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Python, ETL, Compliance

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
  • Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
  • Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 14
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 14

āļ—āļąāļāļĐāļ°:

Data Analysis, Finance, SQL, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
  • Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
  • Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 15
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 15

āļ—āļąāļāļĐāļ°:

Contracts, Compliance, Project Management, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Lead the entire construction process of mixed-use projects; make strategic decisions and provide leadership/direction to construction team.
  • Manage timelines, budgets, and vendors/contractors to ensure that project is completed on time, within budget, and meet quality standards.
  • Work closely with interior designers and construction vendors to ensure smooth and timely completion of mixed-use projects according to the agreed design.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 16
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 16

āļ—āļąāļāļĐāļ°:

Research, Risk Management, Microsoft Office

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Transaction Monitoring:Analyze transactions in real-time using fraud detection tools and rules.
  • Identify suspicious activity based on pre-defined risk profiles and behavioral patterns.
  • Investigate flagged transactions and determine their legitimacy.
2 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 17
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 17

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

2 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Research, Python, SQL

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Develop machine learning models such as credit model, income estimation model and fraud model.
  • Research on cutting-edge technology to enhance existing model performance.
  • Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 18
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 18

āļ—āļąāļāļĐāļ°:

Project Management, Quantitative Analysis, Industrial Engineering

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity.
  • Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
  • Plan and develop report/ presentation to support project for trial and roll out.
2 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 19
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 19

āļ—āļąāļāļĐāļ°:

Data Analysis, Industrial Engineering, Finance

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
  • Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
5 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāļ—āļ„āļąāļš āļ­āļ­āļ™āđ„āļĨāļ™āđŒ 20
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāļ—āļ„āļąāļš āļ­āļ­āļ™āđ„āļĨāļ™āđŒ 20
āļ„āļĨāļ­āļ‡āđ€āļ•āļĒ, āļāļĢāļļāļ‡āđ€āļ—āļž, āļ™āļąāļāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒ ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ āļ™āļąāļāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ

āļ—āļąāļāļĐāļ°:

Budgeting, Industrial Engineering, Enthusiastic

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Align business systems initiatives with an organization's goals.
  • Work closely with executive management.
  • Translate strategic direction into team direction plans.
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŠāđˆāļ‡āđāļˆāđ‰āļ‡āđ€āļ•āļ·āļ­āļ™āļ‡āļēāļ™āđƒāļŦāļĄāđˆāļĨāđˆāļēāļŠāļļāļ”āļŠāļģāļŦāļĢāļąāļšsenior data engineer
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