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Builds and maintains scalable ETL/ELT pipelines for data integration in an e-commerce/retail cloud platform, transforming raw data into usable formats for BI tools and self-service analytics.
You design and implement Salesforce Data Cloud solutions, integrating customer data sources, modeling streams, and activating segments for marketing automation and CRM systems.
Design and maintain a secure, GDPR-compliant data lakehouse platform using open-source tools like PostgreSQL, MinIO, Kubernetes, and Spark, ensuring interoperability with ingestion, core, and front-end systems.
Build and maintain data pipelines for ETL processes, collaborating with senior engineers to integrate data from multiple sources and optimize performance.
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
Builds and maintains cloud-based ETL pipelines that process environmental datasets (energy, emissions, resources) using Python, PySpark, and AWS to power sustainability analytics.
Builds and maintains ETL/ELT pipelines and data warehouses for analytics, integrating enterprise systems like SAP HANA and Snowflake to support AI-ready data workflows.
Builds Power BI dashboards and validates statutory reports using SQL and ETL to drive data-driven decisions for early parenting services.
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Design and lead enterprise AI, data, and analytics architecture using Microsoft Fabric, Azure, Databricks, and Power BI for scalable solutions.
Job Description – Senior Data Engineer / Consultant About GyanSys: GyanSys is a global systems integrator and technology consulting company that helps enterprises accelerate digital transformation through SAP, Cloud,…
Develops and maintains Azure Data Factory pipelines for enterprise data integration and ETL workflows.
Build and deploy ML models end-to-end: train, optimize, and package solutions while setting up MLOps pipelines, monitoring, and data governance for production AI systems.
Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the…
Lead the roadmap for Splunk’s AI Foundations platform, defining domain-specific models, agentic protocols, and orchestration tools to power enterprise-grade AI workflows for global customers.
Build and maintain scalable data pipelines using Spark, Azure Synapse, and Databricks to feed Manulife’s Enterprise Data Lake, ensuring reliable analytics for insurance and financial operations.
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