Maknet | Hiring | Senior Data Engineer – Remote | BigDataKB.com | 2022-09-26

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Job Location: Thailand

Your Challenge

As a Senior Data Engineer, you will work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Mango to advance the data-driven decision-making capabilities of our enterprise. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. The ideal candidate is a skilled data/software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
  • Create data products for analytics and data scientist team members to improve their productivity
  • 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

Requirements

  • Previous experience as a data engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Java and Python)
  • Hands-on experience with SQL database design using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
  • Great numerical and analytical skill
  • 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.

Apply Here

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