Senior Data Engineer

CloudFactory

Senior Data Engineer at CloudFactory transforming complex, multi-source data into reliable datasets. Collaborating with teams to define metrics and ensure high data quality.

Posted 6/9/2026full-timeKathmandu • 🇳🇵 NepalSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLGrafanaPythonSQLTerraform

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines and analytics architecture across cloud and on-prem environments
Develop reliable analytical data models that transform raw data into business-ready datasets.
Define, implement, and own key business metrics, including semantic layers and supporting data structures.
Ensure high data quality and reliability by identifying inconsistencies, resolving data issues, and improving monitoring and governance practices.
Partner with product, operations, finance, and GTM teams to understand analytics needs and deliver actionable insights.
Manage and optimize data pipeline orchestration, including third-party data ingestions and cost/performance improvements.
Lead end-to-end ownership of major reporting domains, ensuring accuracy, health, and long-term scalability.
Contribute to data engineering standards, documentation, and best practices.
Mentor junior team members and support a culture of continuous improvement.
Participate in incident response, on-call rotations, and post-mortems, proactively improving system reliability.

Requirements

What you’ll need

3–5+ years of experience in Analytics Engineering or Data Engineering.
Expert-level SQL, including complex queries and performance optimization.
Strong Python skills.
Hands-on experience with dbt for data transformation and modeling.
Solid understanding of analytical data modeling techniques.
Experience working with both batch and streaming data.
Experience with Snowflake, ClickHouse, or similar data warehouse technologies.
Hands-on experience with ETL/ELT tools such as Fivetran, Airbyte, PeerDB, or similar.
Experience integrating data from APIs and multiple data sources.
Experience with data orchestration tools, preferably Prefect.
Experience with BI and reporting tools such as Looker, QuickSight, Grafana, or similar.
Familiarity with AWS services (e.g., S3, ECS/Fargate, SNS/SQS).
Experience with version control and CI/CD practices in analytics workflows (e.g., Git/GitHub, GitHub Actions).
Strong problem-solving skills and attention to detail.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
Customer-focused mindset and comfort working closely with business teams.
Familiarity with data governance, lineage, and documentation tools (e.g., DataHub, Great Expectations) is a plus.
Experience with IaC (Terraform, CloudFormation, etc.) is a plus.

Benefits

Comp & perks

Great Mission and Culture
Meaningful Work
Market competitive salary
Quarterly variable compensation
Remote and Home working
Comprehensive medical cover
Group life insurance
Personal development and growth opportunities
Office snacks and lunch
Periodic team building and social events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondbtanalytical data modelingbatch data processingstreaming data processingSnowflakeClickHouseETLELT

Soft Skills

problem-solvingattention to detailindependencetime managementcommunicationcollaborationcustomer-focused mindsetmentoringcontinuous improvementtechnical explanation