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Senior Data Engineer

Inivos · Remote, Western Province, Sri Lanka

Data Science / AI / Machine LearningSenior LevelRemoteQuick applyfull-time6 days ago

About The Role

Inivos ( www.inivosglobal.com) leads innovation in technology, specializing in Enterprise Solutions, Product Development, and Staff Augmentation. Our team of over 180 professionals, including consultants, developers, and quality engineers, delivers cutting-edge solutions that set new industry benchmarks. Within just five years, we’ve established a robust client base across North America, the UK, Scandinavia, South Africa, UAE, Sri Lanka, Bangladesh, Singapore, Netherlands and Australia.

Job Description

We are seeking a highly skilled Senior Data Engineer, and the ideal candidate will play a pivotal role in migrating and transforming data, performing complex data transformations and ensuring seamless integration.

Below will be your job responsibilities, as in the position of a Senior Data Engineer,

  • Develop and maintain data transformations to for storage.
  • Develop and maintain data pipelines ensuring optimum, efficient and reliable data flow.
  • Develop and maintain complex BI dashboards and reports to provide actionable insights.
  • Collaborate with stakeholders to understand requirements and deliver solutions that meet business needs.
  • Work closely with cross-functional teams including data analysts, IT, and business stakeholders.

Requirements

  • Bachelor’s degree in computer science, Information Technology, Data Science, or a related field with minimum of 5+ years of experience in data engineering, business intelligence, or a similar role within complex environments.
  • Proficient in SQL and scripting for data manipulation and automation.
  • Proven track record of working with data warehousing solutions I.e. Azure Fabric.
  • Experience in interactive BI dashboards, reports, and data visualizations tools.
  • Extensive experience with Cloud services

Benefits

  • Competitive compensation.
  • Recognition & appreciation.
  • International exposure.
  • Open work culture.
  • Remote working model.
  • Medical & Insurance entitlement upon confirmation.
  • Recreational activities and events.

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