Senior Data Engineer

SunnyData

Senior Data Engineer developing and deploying data solutions for clients at SunnyData. Working with cutting-edge data technologies and collaborating with customers to drive strategic insights.

Posted 5/11/2026full-timeNepal • 🇳🇵 NepalSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopKafkaPandasScikit-LearnSparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata product developmentSparkHadoopKafkapandasscikit-learnSQLOLTPOLAP

Soft Skills

problem solvingdebuggingcommunicationleadershiptime managementprioritizationself-motivation

Certifications

Databricks data engineering certificationDatabricks machine learning certification