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Principal Engineer leading the design and implementation of HTX’s AI Data Platform, building scalable pipelines and governance to fuel AI models for Singapore’s Home Team.
Build and maintain scalable data pipelines, warehouses, and ETL/ELT workflows using Python, SQL, and cloud platforms to power analytics and AI products.
Designs and optimizes data pipelines, warehouses, and ETL/ELT processes to deliver scalable data solutions for business insights.
Designs and builds data pipelines, warehouses, and models to integrate and transform business data for analytics and reporting.
Build and maintain ETL pipelines, optimize databases, and design data warehouses to support BI and analytics for a retail company.
Designs and optimizes ETL/ELT pipelines, data warehouses, and integrations to support analytics and reporting using advanced SQL, Python/Scala, and cloud tools.
Design, build, and optimize ETL/ELT pipelines and data warehouses to support analytics and reporting for a fast-growing beauty-products company.
Design and build data pipelines and microservices to feed AI systems, ensuring data quality and reliability for a web/mobile development agency.
Build and maintain AI-ready data pipelines in Python, integrating multiple sources and ensuring data quality for downstream AI/ML teams.
Leads data integration/migration projects for modern platforms, focusing on ETL/ELT pipelines and data quality in mission-critical environments, with expertise in AS400, COBOL, SSIS, Azure Data Factory, and SQL/Oracle.
Senior Data Engineer to lead data integration and migration for CORTEX, building ETL/ELT pipelines with Azure Data Factory, Synapse, and SSIS while modernizing legacy AS400/COBOL systems.
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.
Build and scale Tracksuit’s internal analytics platform (Snowflake + dbt) to power Product, Finance, and GTM decisions, own data quality, and deliver self-service metrics for a fast-growing B2B SaaS brand-tracking startup.
Design and build cloud-based data platforms and ETL pipelines for clients using Microsoft Fabric, Databricks, Snowflake, SQL and Python.
Design and implement scalable data architectures, ETL/ELT pipelines, and analytical models for clients using Python, SQL, Snowflake, and cloud platforms like Azure or AWS.
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 governed data pipelines, semantic models, and Power BI reports using Python, SQL, and Microsoft Fabric to modernize supply-chain analytics and enable AI-assisted self-service insights.
Roche sucht einen Real World Data Analytics Engineer, der mit Data-Scientists zusammenarbeitet, um skalierbare Datenpipelines zu entwickeln und zu warten. No deje pasar esta oportunidad, inscríbase rápidamente si su…
Build and maintain scalable data pipelines and ETL/ELT workflows on GCP, focusing on AI/ML integrations using Python and SQL.
TheFork является ведущей платформой по бронированию ресторанов в Европе и частью Tripadvisor Group. ¿Está considerando presentar su candidatura para este trabajo? Compruebe todos los detalles en esta descripción del…
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