Job Title: Technical Architect – Data Platform & Analytics (Life Sciences) Reports To: Senior Director, Data Management & Analytics Employment Type: Full-time Workplace Type: Remote Timing: Upto 11 pm IST (Overlap with PST) The Celito Team
We are seeking experienced ETL Data Test Automation Engineers with Databricks expertise to validate complex cloud data pipelines. Work onsite to ensure data quality, integrity, and performance across ETL/ELT processes using Python automation, PySpark testing, and advanced SQL
Design, implement Azure data solutions Migrations to Azure using services such as Data Factory, Synapse, Databricks, Function App, and ADLS Migrate legacy SSIS packages to Azure cloud Integrate data from multiple sources using Python, SQL, Databricks, and data pipelines
About the Role We are hiring an Agentic AI Engineer to build and ship production AI systems as part of BayOnes AI Strategy and Innovation Office. The role sits within a collaborative, distributed engineering team and
Preferred Qualifications: Technical Requirements Python as primary language. Microsoft Azure required as the primary cloud platform. Hands-on experience building with Azure AI Foundry. Claude Code experience and expertise required, including hands-on development of skills and plugins on
EazyML, recognized by Gartner, EazyML ( specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and the company is associated with breakthrough startups like Amelia.ai. This is a full-time Remote role for a
Microsoft Fabric Consultant / Senior Consultant / Lead (Contract) Employment Type: Contract Duration: 6–12 Months (Extendable) Location: Remote Experience: 6–8 Years Availability: Immediate Role Overview We are seeking an experienced Microsoft Fabric Consultant to lead enterprise-scale
Role: Informatica MDM SaaS Developer Location : Remote Shift : 10:00 PM IST - 6:00 AM IST Notice Period : Max 30 Days Key Responsibilities: Hands-on MDM Developer with extensive experience in end-end MDM SaaS implementation
We are looking for a Data Engineer to design, build, and optimize scalable data platforms that power analytics, reporting, machine learning, and business decision-making. This role will be responsible for developing robust data pipelines, managing large-scale