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Design and maintain AWS-based data pipelines and lakehouse architecture for environmental services, processing large datasets to support analytics and business intelligence.
Build and optimize scalable data pipelines using Microsoft Fabric, PySpark, and Delta Lake to power analytics and reporting solutions.
Build and maintain modern data pipelines and cloud-based analytics solutions using Azure services, SQL, and Python for AI-driven projects.
Location: 100% Remote anywhere in Canada Duration: Full‑time Job Description Role Overview We are seeking an Data & AI Engineering Manager to lead high‑impact teams building scalable, customer‑facing data and AI…
Data Analyst focused on strategy and governance, building data catalogs, ensuring quality, and modeling enterprise data assets using T-SQL, Microsoft Fabric, and Power BI.
Who We Are As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How By taking the time to truly understand people. From…
(What the role is) A hands-on technical role responsible for designing, building, and maintaining the data pipelines and infrastructure that power IMDA's Data Platforms. The role sits at the intersection of data…
Designs and builds modern data platforms, including data warehouses, lakes, and lakehouses, using tools like Microsoft Fabric and Databricks.
Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of…
Designs and builds scalable data pipelines and analytics platforms on Azure Databricks, Synapse Analytics, and Microsoft Fabric to power enterprise reporting and AI/ML workloads.
Build and maintain ETL/ELT pipelines and data governance for a global finance data warehouse and lakehouse using Microsoft Fabric, Spark, SQL, and Python.
Lead the design and operation of Workiva’s enterprise data platform, setting Snowflake standards, RBAC, and AI/ML integration patterns while guiding teams on dbt Mesh and agentic data workflows.
Role/ Job Title: Data Engineer Business : New Age Function/ Department: Data & Analytics Place of Work : Mumbai/Bangalore Roles & Responsibilities 'Minimum 2-3 years of Data Engineering experience Proven experience in…
Designs and governs enterprise-scale data architectures for a government client, focusing on Snowflake, DBT, and modern data platforms while establishing governance, modeling standards, and AI-assisted delivery frameworks.
Build and maintain scalable data pipelines in Azure (Databricks, ADF) using Scala, Python, and SQL; design enterprise data warehouses and optimize ETL/ELT workflows for insurance and healthcare analytics.
Build and maintain scalable data pipelines and lakehouse architectures to power analytics and AI use cases for a digital-banking platform.
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.
Build and maintain enterprise-scale AI and data platforms, automating operations with cloud and MLOps tools like Kubernetes, Terraform, and Jenkins.
Build and maintain real-time data pipelines and lakehouse infrastructure for a crypto/fintech trading firm, enabling traders and analysts to make faster, data-driven decisions.
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