About the role
structured by ORICompany Description Natlov Technologies Pvt Ltd builds smart, human-first digital solutions that are simple, scalable, and reliable. The company currently focuses on web and mobile app development, cloud solutions, AI/ML integration, automation, and IT consulting for startups, businesses, and NGOs.
What you will do
- Developing and optimizing ETL processes, implementing data models, and supporting data warehousing solutions for analytics and reporting needs.
- Collaborate with software engineers, data analysts, and product teams to ensure data is accurate, accessible, and secure.
- Monitoring data systems, troubleshooting performance issues, improving data reliability and scalability, and contributing to best practices for data governance.
- Supports the integration of data-driven insights into sustainability-focused and nature-aligned technology solutions.
What they are looking for
- Strong Data Engineering skills, including building and maintaining scalable data pipelines.
- Experience with Data Modeling and Data Warehousing to support reporting and analytics.
- Proficiency in Extract Transform Load (ETL) processes and tools for data integration.
- Ability to work with Data Analytics teams to enable insights and decision-making.
- Solid programming skills (e.g., Python, SQL) and familiarity with cloud data platforms (e.g., AWS, GCP, Azure).
- Understanding of data governance, data security, and performance optimization best practices.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- Strong communication skills, problem-solving mindset, and ability to work effectively in a remote, collaborative environment.
Nice to have
- Experience in AI/ML data pipelines or sustainability-focused projects is an advantage.
Full posting text
Company Description Natlov Technologies Pvt Ltd builds smart, human-first digital solutions that are simple, scalable, and reliable. The company currently focuses on web and mobile app development, cloud solutions, AI/ML integration, automation, and IT consulting for startups, businesses, and NGOs. Natlov is driven by a broader mission to create technology that respects and aligns with nature, with a growing emphasis on sustainability-focused solutions in agriculture, health, and climate-conscious development.
Guided by the vision “Tech for Green — Future-ready. Nature-aligned,” Natlov aims to deliver clean, efficient tech that supports a better digital future. To learn more, visit https://www.natlov.com/.
Role Description The Data Engineer will design, build, and maintain data pipelines and infrastructure that support reliable data flow across Natlov’s digital solutions. This full-time remote role involves developing and optimizing ETL processes, implementing data models, and supporting data warehousing solutions for analytics and reporting needs. The Data Engineer will collaborate with software engineers, data analysts, and product teams to ensure data is accurate, accessible, and secure.
Daily responsibilities include monitoring data systems, troubleshooting performance issues, improving data reliability and scalability, and contributing to best practices for data governance. The role also supports the integration of data-driven insights into sustainability-focused and nature-aligned technology solutions.
Qualifications
Strong Data Engineering skills, including building and maintaining scalable data pipelines.
Experience with Data Modeling and Data Warehousing to support reporting and analytics.
Proficiency in Extract Transform Load (ETL) processes and tools for data integration.
Ability to work with Data Analytics teams to enable insights and decision-making.
Solid programming skills (e.g., Python, SQL) and familiarity with cloud data platforms (e.g., AWS, GCP, Azure).
Understanding of data governance, data security, and performance optimization best practices.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
Experience in AI/ML data pipelines or sustainability-focused projects is an advantage.
Strong communication skills, problem-solving mindset, and ability to work effectively in a remote, collaborative environment.
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting