Data Engineer
4826 views | Apply Before: 2024-04-20
Job Summary
No. of Vacancy
Job Type
Full Time
Offered Salary
Career Level
Top Level
Three or more year’s equivalent work experience.
Preferred Education
Bachelor in IT/Engineering
Bhaisepati, Lalitpur
Apply Before
Job Description
  • Design, build, and maintain data pipelines used to ingest and transform data from a variety of source systems for reporting and integration into other data systems.
  • Design, build, and maintain data warehouses and data marts used to serve data to downstream consumers including Power BI dashboards and reports, IT processes, and data science.
  • Utilize DataOps practices to ensure high availability and observability of data pipelines and data warehouses.
  • Scope and gather requirements to design and develop integrated reporting solutions using on- premises Microsoft Power BI Report Server.
  • Define and implement security and access controls on data warehouses, Power BI Report Server, etc. to ensure protection of systems and data assets.
  • Consume and analyze data from the data pipeline to infer, predict and recommend actionable insights, which will significantly move the relationship with the customers in a positive direction
  • and contribute to business growth.
  • Help engineer and build intelligent alerting systems that detects early anomalies in the data and informs product teams to investigate issues before they amplify.
  • Automate manual processes to optimize data delivery.
  • Architect distributed systems and data stores.
Job Specification
  • A Bachelor’s degree (or more) in computer science and Engineering, information Technology or equivalent.
  • Three or more year’s equivalent work experience.
  • Proven experience as a data engineer, software developer, or similar.
  • Expert proficiency in Python or R, and SQL.
  • Technical expertise with data models, data mining, and segmentation techniques
  • Building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Performing root cause analysis on internal and external data and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Supporting and working with cross-functional teams in a dynamic environment.
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