Kyndryl

Data Engineer

Kyndryl

full-time

Posted on:

Location Type: Office

Location: Taipei • 🇹🇼 Taiwan

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudETLMongoDBNoSQLPostgres

About the role

  • Design, build, manage and modernize mission-critical data platforms and infrastructure
  • Ensure availability of pristine, harmonized and refined datasets for decision-makers
  • Understand project objectives from a business perspective and convert into data requirements
  • Investigate data to uncover quality issues and initial insights
  • Architect and develop data pipelines to cleanse, normalize, and transform raw data into final datasets
  • Scrutinize data solutions to ensure alignment with business and technical requirements
  • Manage data lifecycle to ensure data remains fresh and impactful
  • Collaborate with stakeholders and cross-functional teams to deliver data-driven solutions

Requirements

  • Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
  • Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
  • Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
  • Excellent problem-solving, analytical, and critical thinking skills
  • Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
  • Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems
  • Experience working as a Data Engineer and/or in cloud modernization (preferred)
  • Experience in Data Modelling (preferred)
  • Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization (preferred)
  • Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate (preferred)
  • Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio (preferred)
  • Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology (preferred)
  • Year of service : 5 years
Benefits
  • State-of-the-art resources and Fortune 100 clients
  • Hands-on experience and career growth opportunities
  • Learning opportunities and professional development
  • Chance to certify in all four major platforms
  • Employee learning programs with access to certifications (Microsoft, Google, Amazon, Skillsoft)
  • Volunteering and giving platform (donate, start fundraisers, volunteer, search non-profits)
  • Benefits that give you choice and support you and your family
  • Well-being support

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data miningdata storageExtract-Transform-Load (ETL)data pipelines developmentdata modelingrelational databasesNoSQL databasesPostgreSQLDB2MongoDB
Soft skills
problem-solvinganalytical skillscritical thinkingattention to detailcommunication skillsproject management
Certifications
Open Certified Technical Specialist with Data Engineering SpecializationAWS Certified Data Analytics – SpecialtyGoogle Cloud Professional Data EngineerMicrosoft Certified: Azure Data Engineer Associate
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