Senior Data Engineer
Leapfrog Technology · Kathmandu, Bagmati, Nepal
What Leapfrog Technology asks for
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform data from diverse sources into data warehouses and data lakes.
- Build and optimize data models, database schemas, and storage solutions to support high-performance data processing.
- Manage relational and NoSQL databases, ensuring performance, scalability, security, and data integrity.
- Develop SQL objects including stored procedures, functions, triggers, views, and optimized queries for efficient data processing.
- Design and maintain OLTP and OLAP data systems, including dimensional modelling and data warehouse architectures.
- Implement data validation, monitoring, and quality assurance processes to ensure data accuracy and reliability.
- Develop and integrate REST APIs for data ingestion, distribution, and retrieval.
- Automate workflows and orchestrate complex data pipelines using Apache Airflow and other ETL automation tools.
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- Employer
- Leapfrog Technology
- Location
- Kathmandu, Bagmati, Nepal
- Type
- Fulltime Permanent
- Team
- Development
- Posted
- 3 months ago
About the role
We are seeking a Data Engineer to design, build, and optimize scalable data platforms, ETL/ELT pipelines, and data warehouses that power analytics, AI, and business applications. The ideal candidate has strong software engineering and database fundamentals, cloud experience, and expertise in data modeling, orchestration, and automation, with a passion for delivering reliable, secure, and high-quality data solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform data from diverse sources into data warehouses and data lakes.
- Build and optimize data models, database schemas, and storage solutions to support high-performance data processing.
- Manage relational and NoSQL databases, ensuring performance, scalability, security, and data integrity.
- Develop SQL objects including stored procedures, functions, triggers, views, and optimized queries for efficient data processing.
- Design and maintain OLTP and OLAP data systems, including dimensional modelling and data warehouse architectures.
- Implement data validation, monitoring, and quality assurance processes to ensure data accuracy and reliability.
- Develop and integrate REST APIs for data ingestion, distribution, and retrieval.
- Automate workflows and orchestrate complex data pipelines using Apache Airflow and other ETL automation tools.
- Collaborate with Software Engineers, Product Managers, and business stakeholders to deliver scalable data solutions.
- Contribute to data governance, security, documentation, and engineering best practices.
- Participate in code reviews, CI/CD processes, and Git-based collaborative development workflows.
- Continuously evaluate and adopt modern technologies, cloud services, and AI-powered development practices.
About the employer — 3 more lines ▾
About Leapfrog
Leapfrog is on a mission to be a role model technology company. Since 2010, we have relentlessly worked on crafting better digital products with our team of superior engineers. We’re a full-stack company specializing in SaaS products and have served over 100 clients with our mastery of emerging technologies.
We’re thinkers and doers, creatives and coders, makers and builders— but most importantly, we are trusted partners with world-class engineers. Hundreds of companies in Boston, Seattle, Silicon Valley, and San Francisco choose us to gain speed, agility, quality, and stability, giving them an edge over their competitors.