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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