Responsibilities: * Design, develop, test & maintain Mulesoft integrations using AnyPoint Platform. * Collaborate with cross-functional teams on project requirements & deliverables. Anypoint Studio/Platform, CI/CD, Git, integration patterns Health insurance Provident fund Annual bonus Office cab/shuttle Food allowance
8+ yrs Salesforce dev & architecture exp, focus on FSC Salesforce Architect certifications (CTA preferred) Strong financial services domain & compliance knowledge Expertise in Lightning, Apex, LWC, REST/SOAP integrations Proven Leadership skills Annual bonus Health insurance Provident fund
Responsibilities Lead AWS Contact Centre design. Expertise in Amazon Connect, Lex, Lambda 8+ years architecture/dev experience. Experience with Service Cloud Voice. Jira Cloud Management Strong stakeholder management. Security/Performance Standards
Responsibilities: Develop and integrate Salesforce Service Cloud Voice with Amazon Connect, Lambda, and Lex Build and optimize voice workflows and CTI integrations Ensure seamless omnichannel customer experience across platform Email apply@hiref.in
Role Overview: Our client, a major global IT consulting and AI company is seeking skilled Data Engineers with strong expertise in Data Vault 2.0 architecture and hands-on experience with the Snowflake data platform. The ideal candidate will play a key role in designing, building, and maintaining scalable data solutions, ensuring data consistency, performance, and governance across the organization. This role requires someone who can work independently and collaborate effectively with cross-functional teams. Role & responsibilities Design and implement Data Vault 2.0 based data models and architectures. Develop, optimize, and maintain data pipelines on the Snowflake platform. Configure and manage data workflows using Coalesce or similar Snowflake-native tools. Ensure data quality, lineage, and governance across data systems. Collaborate with data analysts, architects, and business teams to deliver reliable and scalable data solutions. Troubleshoot performance bottlenecks and implement best practices for data loading and transformation. Preferred candidate profile 4+ years of experience as a Data Engineer or in a related data role. Proven expertise in Data Vault 2.0 architecture (mandatory). Strong hands-on experience with Snowflake (mandatory). Experience with Coalesce or similar ETL/ELT configuration tools preferred. Proficient in SQL, data modeling, and performance tuning. Knowledge of ETL frameworks, data warehousing principles, and cloud data ecosystems. Ability to work autonomously and take end-to-end ownership of deliverables.
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