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Build and maintain Python/Java backend services and data pipelines for Loora’s AI English tutor, including real-time processing, analytics, and AI model training infrastructure.
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.…
Design and build scalable data pipelines, ML workflows, and governance frameworks on Azure to enable analytics and AI across an insurance company.
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…
Maltem Asia is seeking a Data Engineer for our Asset Management client. Responsibilities: Design, build, and optimize scalable ETL/ELT pipelines using Microsoft Azure & Microsoft Fabric . Develop and maintain…
Build a new AWS-based Lakehouse data platform from scratch using Python, Terraform, and scalable architectures to process 100TB–1PB of data reliably.
Own and operate a Databricks Lakehouse platform, focusing on reliability, governance, and cost optimization for a fintech company.
Summary Avanade is growing, and we seek motivated and engaged technology professionals to join our Managed Services team delivering continuous value to our client's businesses. We are seeking a Microsoft Fabric…
Design and build scalable data pipelines using Spark, Flink, and Kafka to process real-time and batch datasets for B2B data products.
Roles & Responsibilities The ideal candidate will have extensive experience working with complex banking data across domains such as Customer, Accounts, Deposits, Loans, Payments, Cards, Transactions, Risk,…
Senior Data Engineer builds and owns end-to-end data pipelines, integrates CRM systems, and enables AI/analytics for a large real-estate company.
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.
Design and build scalable IoT data platforms for embedded and industrial systems, implementing batch/streaming pipelines, data contracts, and governance to support smart factories and connected products.
Build and maintain a scalable data platform using PySpark/Python and Azure, integrating CRM/ERP/SaaS data into a lakehouse architecture for reliable analytics and Power BI reporting.
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.
Design and build cloud-based data platforms and ETL pipelines for clients using Microsoft Fabric, Databricks, Snowflake, SQL and Python.
Senior Analytics Engineer builds trusted, business-ready data models and semantic layers in Databricks to power dashboards, Genie spaces, and AI-driven self-serve analytics for product and business decisions.
Builds AI-driven analytics and Databricks apps to transform customer intelligence into actionable insights, root-cause analysis, and executive storytelling for Xplore’s telecom operations.
Aubay Spain is seeking a Data Platform DevOps Engineer to join an international project in the financial sector, helping evolve a next‑gen data platform based on Data Lakehouse and cloud tech. Desplácese hacia abajo…
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