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Build and maintain scalable data pipelines and analytics platforms using Databricks, Spark, and cloud tools to power investment insights and reporting.
Build and optimize cloud-based data pipelines and analytics platforms using Databricks, PySpark, and Delta Lake to support real-time and batch processing for a fintech partner.
Build AI-powered document processing pipelines using OCR, VLMs, LLMs, and RAG to extract and index content from PDFs, images, and other files for enterprise AI assistants.
Designs and maintains scalable data pipelines using Azure Databricks and Azure Data Factory to ingest, transform, and optimize data for analytics and reporting, ensuring data quality, governance, and high performance.
Build and maintain data pipelines using PySpark, Python, and Azure Databricks; enforce governance in Unity Catalog and SQL Server; validate data quality and automate workflows.
Build and maintain data pipelines and applications using .NET (C#), Apache Spark, Databricks, and Delta Lake to process large-scale data efficiently.
Build and modernise cloud-native data platforms and pipelines for clients, using Python, SQL, and tools like Azure/AWS/GCP and Databricks.
Build and optimize cloud-native data platforms and pipelines for clients using Python, SQL, and tools like Azure Data Factory, Databricks, and Snowflake.
Senior Data Engineer responsible for conceptualizing data solutions, modernizing data environments, and building data pipelines using technologies like Microsoft Azure, Power BI, Python, and Fabric/Databricks. Works with clients and cross-functional teams to deliver actionable insights and optimize data infrastructure.
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases, while aligning with business objectives and compliance standards.
Position: Senior Data Analytics Engineer Employment Type: Full-time Position Overview We are seeking an experienced Senior Data Engineer to join our data team at National Healthcare Group. The successful candidate will…
Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Location: Toronto Work Model: Onsite (4 days/week) Key Requirements 12–18 years of overall Data Engineering experience.…
Build and maintain Azure-based data pipelines and analytics-ready datasets for Alberta’s environmental regulatory platform, using Databricks, Synapse, and Python to support compliance and decision-making.
Position: Data Engineer (AWS + Databricks) Location: Singapore Experience: 4 to 8 Years Key Skills Required Strong hands-on experience with Databricks Expertise in PySpark and Spark SQL Good experience with AWS Cloud…
Design and build scalable data pipelines using Spark, Flink, and Kafka to process real-time and batch datasets for B2B data products.
Senior Data Engineer at an Adtech company building and scaling a big data identity graph using Python, Spark, cloud platforms (AWS/GCP/Azure), and integrating AI/LLMs.
Build and maintain scalable eCommerce data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and intelligent commerce experiences across Latin America.
Build and maintain enterprise-scale data pipelines and AI solutions using SQL, Python, Databricks, and Azure services to power analytics and generative AI for a real-estate-focused company.
Builds and maintains scalable data pipelines and a cloud-based lakehouse using Python, SQL, and Microsoft Fabric to integrate CRM/ERP data for analytics and reporting.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
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