Overview

Data Engineer Jobs in Kathmandu, Bāgmatī, Nepal at SojoJob

Title: Data Engineer

Company: SojoJob

Location: Kathmandu, Bāgmatī, Nepal

Sojojob Pvt Ltd

full-time

Top Level

Negotiable

on-site

kathmandu

Skills Required

dataenginnerData Enginner

Job Description

What We Look For

  • 5+ years of related experience in data engineering and data product development.
  • Experience in one or more of the following:
  • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
  • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
  • Solid understanding of the end to end data analytics workflow.
  • Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.
  • Proven problem solving skills including debugging skills.
  • Strong English verbal and written communication skills.
  • Availability to overlap with US hours [up to 50%]
  • Leadership – Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
  • Excellent time management and prioritization skills.
  • Nice to have: knowledge of public cloud platforms AWS, Azure or GCP.
  • Nice to have: Databricks data engineering or machine learning certification.

Education

  • Bachelor’s Degree in Computer Science or Engineering related field.

The Impact You Will Have

  • Be part of a team responsible for supporting new and existing customers in their data engineering needs.
  • Guide customers to make the best technical decisions to achieve their goals.
  • Actively work across multiple customer accounts which you would need to track and report on their progress.
  • Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions.
  • Analyze data sources to determine their value and recommend them to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
  • Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
  • Test data movement, transformation code, and data components.

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