Uptempo
Uptempo is a marketing planning platform designed to enhance organizational efficiency by integrating various aspects of marketing operations, including campaign planning, budget management, and spend analytics. It helps organizations plan smarter, optimize investments, and accelerate results through comprehensive visibility into marketing spending and performance metrics. Uptempo serves marketing teams across diverse sectors, including technology, consumer goods, retail, financial services, and manufacturing, enabling them to align their strategies with business objectives and drive impactful results.
Campaign Planning Software • Marketing planning • Marketing planning software • Marketing work management • Marketing resource management
Data Engineer
February 4
Uptempo
Uptempo is a marketing planning platform designed to enhance organizational efficiency by integrating various aspects of marketing operations, including campaign planning, budget management, and spend analytics. It helps organizations plan smarter, optimize investments, and accelerate results through comprehensive visibility into marketing spending and performance metrics. Uptempo serves marketing teams across diverse sectors, including technology, consumer goods, retail, financial services, and manufacturing, enabling them to align their strategies with business objectives and drive impactful results.
Campaign Planning Software • Marketing planning • Marketing planning software • Marketing work management • Marketing resource management
📋 Description
• Design, develop, and maintain scalable ETL pipelines to ensure efficient data ingestion, transformation, and integration from various sources into data warehouses or lakes. • Create and optimize data models for efficient querying and reporting, ensuring compatibility with visualization tools like Tableau and other BI platforms. • Collaborate with developers and data scientists to ensure seamless integration of data workflows into existing systems. • Build, support, and maintain Tableau dashboards, collaborating with stakeholders to translate business requirements into actionable insights. • Monitor and enhance the performance of data pipelines and models, ensuring reliability, scalability, and minimal latency. • Work closely with product management, professional services, customer support, and engineering teams to gather requirements, troubleshoot issues, and deliver data solutions aligned with business objectives. • Ensure compliance with data governance and security standards while handling sensitive or proprietary information. • Maintain clear and detailed documentation of ETL processes, data models, and workflows.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, or a related field • 3 years of experience in data engineering, with hands-on experience building and managing ETL workflows preferably in cloud environment. • Proficiency in SQL and experience with database systems such as PostgreSQL, MySQL and similar • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Familiarity with data modeling techniques (e.g., star schema, snowflake schema) and best practices for building analytics-ready datasets. • Experience with Tableau or other data visualization tools, including creating dashboards and working with published data sources. • Strong programming skills in Python, Java, or Scala for ETL development and data manipulation. • Solid understanding of data warehousing concepts and big data technologies. • Excellent problem-solving skills, with a focus on performance optimization and scalability.
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