Data Engineering

หน้าที่และความรับผิดชอบ

• - Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals - Solve complex data problems to deliver insights that helps business to achieve their goals - Create data products for analytics and data scientist team members to improve their productivity - Advise, consult, mentor and coach other data and analytic professionals on data standards and practices - Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions - Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team - Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes - Partner with tribe members and solutions architects to develop technical architectures for strategic projects and initiatives. - Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

คุณสมบัติ

คุณสมบัติด้านความรู้และความสามารถ

• - Bachelor’s degree required; Computer Science, MIS, or Engineering preferred - Minimum 3 years of experience working in data engineering or architecture role - Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred) - Experience developing and maintaining data warehouses in big data solutions - Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred) - Database development experience using Hadoop or Big Query and experience with a variety of relational, NoSQL, SAP BW and cloud database technologies - Worked with BI tools such as Tableau, Power BI, Looker, Shiny - Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. - Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

สวัสดิการ

• ประกันสังคม
• ตามข้อตกลงของบริษัท
• ประกันชีวิต
• ทุนการศึกษา
• สิทธิการเบิกค่าทันตกรรม

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