Browse remote Azure roles that accept candidates based in India.
This page focuses on remote roles that list India as an accepted candidate location. That matters because many remote jobs still restrict applications by country, timezone, payroll, legal entity, or hiring policy.
Use Azure as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.
Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
CenterWell Senior Primary Care
Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Ira Commerce · Data Science
Develop and maintain scalable data pipelines to support business requirements.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Fora Financial · Data Science
Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.
All Your BI · Data Science
Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.
Particle41 · Data Science
Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.
Gather AI · Data Science
Architect a greenfield, multi-layer data warehouse (raw, refined, serving) that separates analytical workloads from production OLTP traffic.
Alimentiv
Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.
Moniepoint · Data Science
Build and maintain robust data pipelines processing large volumes of data
Teamified
The Snowflake platform is scalable, performant, secure, cost-efficient, and trusted across the organisation.
ShipBob
Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.
NextGen Healthcare · Data Science
Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources.
Databricks · Professional Services Operations
Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
MongoDB · Solutions Consulting, Partners
Design scalable, secure, and high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Ensemble Health Partners · Data Science
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Smart Working · Developer
Support and maintain data ingestion pipelines, including connectors that pull data from NHS systems, practice management systems, and laboratory or equipment sources using APIs and screen-scraping.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
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