Data Engineer

2 2021-10-15

Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing the product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in the data systems.
  • Build or leverage existing analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, APIs and potentially ‘big data’ technologies.
  • Work with stakeholders to assist with data-related technical issues and support data infrastructure needs.
  • Keep the data secured through on-prem and cloud data centers.

Requirements

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL, Stored Procedures) as well as working familiarity with a variety of other database technologies (eg SSAS, SSIS, NoSQL).
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with datasets.
  • It is also beneficial, but not mandatory, to have experience using the following software/tools:
  • Azure deployed Cloud Data Services, including Azure Data Factory, Azure Data Bricks, Azure Data Lake and Azure Synapse.
  • Python, R, C#, Net Core, Web API.

    Soft Skills

    • Great problem-solving skills.
    • Proactive and effective self-learning and research skills.
    • Skills in reading and writing English.
    • Effective English language skills in video conferencing and face to face communication.
    Data Engineer

    Monthly Salary and Benefits

    • Attractive salary based on your experience.
    • Salary for the 13th month up to 100%.
    • Dedication Bonus 40%.
    • Project bonus calculated based on your performance and will be paid 2 times/year.
    • Annual professional health check-up.
    • Premium health insurance package and family member.
    • Children scholarship every month.
    • A professional working environment with the latest tools and equipment for maximum effectiveness..
    • Productive based for flexible working hours.
    • Breakfast is available at the office in early morning and snack in the late afternoon.
    • Happy Friday every two weeks.
    • Team building allowance (100.000 VND/month).
    • Annual Company team building trip.
    • Clubs (Sports, Technical, English).
    • Exclusive training programs for all staff in technical, soft skills and process..
    • Great congratulation and special gifts when marriage, having children, and birthday.
    • Sick leave (maximum 5 days/year), paternity leave (5 days); seniority leave.
    • Motorbike parking fee.

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