Company Description
DataOrbit AI is an AI consulting firm focused on helping small and medium investment managers become AI-ready by aligning strategy, data readiness, technology, and execution. The company provides end-to-end support so organizations can adopt AI seamlessly, driving new growth opportunities and operational efficiencies in a cost-effective way. DataOrbit AI develops clear, forward-looking AI roadmaps and identifies high-impact use cases that deliver measurable business value. Its teams ensure data is accurate, accessible, and well-governed, and design tailored AI solutions and scalable, cloud-native data architectures that support advanced analytics and AI-driven applications from ideation to production.

Role Description
This is a full-time, remote Data Engineer role. The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes that support AI and analytics initiatives for investment management clients. Responsibilities include modeling and structuring data for performance and reliability,



implementing and optimizing data warehousing solutions, and collaborating with data scientists and AI engineers to enable machine learning and advanced analytics. The role involves monitoring data workflows, ensuring data quality and governance, troubleshooting issues in production environments, and contributing to improvements in data architecture and MLOps practices. The Data Engineer will also document data systems, support stakeholder data needs, and help standardize best practices across projects.

Qualifications
- Candidates should possess strong skills in core data engineering, including building and maintaining data pipelines and working with distributed data processing frameworks.
- Candidates should possess skills in data modeling and data warehousing to design productive schemas, optimize queries, and support analytics and AI workloads.
- Candidates should possess skills in Extract Transform Load (ETL) development, includ

📌 Data Engineer (India)
🏢 DataOrbit AI
📍 India