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Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Designs and builds data pipelines using Microsoft Fabric, Azure Synapse, and Qlik tools to support HR analytics and reporting.
Lead the design and delivery of enterprise-scale data platforms, building scalable ETL/ELT pipelines and cloud-native warehouses to power analytics, BI, and AI across the business.
Lead testing for data pipelines and ETL/ELT processes, designing validation checks and mentoring a small QA team while coordinating UAT with business users.
Build and maintain data-driven analytics platforms using Python, AWS, and BI tools; develop full-stack solutions with React/Angular and ETL pipelines.
Builds data pipelines and Python applications for a healthcare-focused team, focusing on ETL, SQL, and BI tools like QlikView.
Build predictive models and interactive Qlik Sense dashboards to turn enterprise data into business insights using SQL and Oracle EBS.
Builds and maintains Azure-based data pipelines and warehouses, writes PySpark jobs on Databricks, and delivers BI dashboards for analytics and reporting.
Holcim is seeking an ITSM Digital Process Engineer to drive process engineering, automation, and data analytics across ITSM ecosystems in the Americas. You will design, build, and maintain automation rules…
Build and maintain scalable data pipelines and BI dashboards using Azure, Python, Power BI, and DOMO to deliver real-time insights and automated reporting for an adtech platform.
Build and maintain ETL pipelines and SQL databases to consolidate procurement data, then create Qlik/Power BI dashboards that track spending, cash flow, and supplier performance for strategic decisions.
Build and deploy ML/AI models (recommenders, NLP, GenAI agents) for clients using Python, cloud platforms, and frameworks like PyTorch and LangGraph.
Design and implement ETL pipelines and data warehouses for diverse clients, using tools like Qlik or Talend and databases such as Snowflake or PostgreSQL.
Build and maintain data pipelines and models in PostgreSQL to support trading analytics, using Python, SQL, ETL, and Qlik Sense dashboards for market analysts.
Design, build, and maintain scalable data pipelines and warehouses using Azure Synapse, Databricks, and Power BI to deliver insights for customers.
Build and maintain scalable data pipelines in Python and PostgreSQL to support commodity trading decisions, including ETL, automation, and BI dashboards in Qlik Sense.
Build and maintain ETL pipelines, PostgreSQL databases, and Python scripts to process 30B+ records for commodity trading insights and dashboards in Qlik Sense.
Build and optimize data pipelines and architectures for clients, using Python, SQL, and cloud platforms like AWS/Azure to process and integrate data at scale.
Build and scale ETL pipelines and Qlik Sense dashboards to power a trading analytics platform for a multinational commodity group.
Build and maintain ETL pipelines, design data warehouse architecture, and create BI reports using MS BI/Tableau/Qlik to support management decisions.
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