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POSITION PURPOSE: We are seeking a data-driven Manager, Sales Analytics to lead day-to-day sales, traffic, and average check analysis and to build and maintain the forecasting models that inform planning, marketing,…
Build and optimize ClickHouse’s cloud-native, multi-cloud infrastructure, focusing on scalability, cost efficiency, and reliability for real-time analytics workloads.
Build and maintain data pipelines, ETL/ELT workflows, and analytics platforms using Azure, Python, and Spark to support clients in marketing, e-commerce, and BI.
Builds and maintains business intelligence reports and dashboards to analyze motoring services data for THE AA’s products and customer insights.
Build and deploy AI/ML models to analyze athlete performance data, using Python, R, and cloud tools to deliver insights that inform training and strategy decisions.
About HighLevel: HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries,…
Key Responsibilities Data Platform Engineering Design, develop, and support data solutions using Microsoft Fabric. Build and maintain scalable data ingestion, transformation, and orchestration processes. Develop and…
Design and build scalable data infrastructure, including data lakes and AI-powered analytics, to support media business decisions and customer data platforms.
About our group: We are a proactive, highly solutions oriented and collaborative team that works with all the various business groups across the organization. Our purpose is capturing massive amounts of data is to…
Key Skills: Oracle, MS SQL, MySQL, Teradata, Databricks, Informatica, AWS cloud services, ETL, ML, AI, IaC, CI/CD, Informatica IDMC Certification Education & Experience: Degree/Master's in Computer Science,…
Primary Skills IICS,Snowflake,SQL Job requirements Experience Range: With at least 3 to 5 years of experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and…
Build and maintain scalable data pipelines and analytics infrastructure in Snowflake using dbt and Fivetran, then deliver Power BI reports and models to drive business decisions.
Build and maintain scalable data pipelines, warehouses, and ETL processes using Python, SQL, and cloud platforms like Azure to power business decisions.
Senior engineer who codes, tests, and troubleshoots financial-planning integrations for customers, feeding field learnings back into the product; uses AI to automate validation and works closely with finance teams.
Build and maintain ETL/ELT pipelines in Hadoop/Spark to clean, transform, and load large datasets into data warehouses for client-centric product recommendations.
Designs and builds scalable ETL/ELT pipelines and enterprise data warehouses using Teradata and Hadoop to integrate and optimize data for analytics.
Build and maintain scalable ETL pipelines and data warehouses to support Sea’s finance teams, enabling accurate reporting and analysis across Garena, Shopee, and Monee.
Build and maintain a data warehouse to support real-time risk analytics and metrics systems for a fintech-focused data platform.
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