Senior Data Engineer, BI Developer

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🔥 8 minutes ago

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Data Meaning

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.

📋 Description

• Design, develop, and maintain data transformation workflows using dbt. • Build and optimize ETL/ELT pipelines that ingest, cleanse, and transform data from multiple sources. • Develop and maintain data preparation workflows using Alteryx. • Create and maintain Python scripts to automate data processing and pipeline tasks. • Ensure data pipelines are scalable, reliable, and well documented. • Monitor scheduled jobs and troubleshoot pipeline failures, data quality issues, and performance bottlenecks. • Perform root cause analysis and implement long-term solutions for recurring production issues. • Maintain operational documentation and runbooks. • Design, develop, and maintain dashboards and reports using MicroStrategy. • Translate business requirements into intuitive and effective reporting solutions. • Optimize dashboards for usability and performance. • Support existing reports by resolving issues, improving functionality, and ensuring successful data refreshes.

🎯 Requirements

• 6+ years of professional experience in Data Engineering, Business Intelligence, or Analytics development. • Professional proficiency in English. • Hands-on experience with dbt. • Experience building data preparation workflows using Alteryx. • Strong understanding of ETL/ELT processes and modern data pipeline development. • Proficiency in Python for scripting and automation. • Experience developing dashboards and reports using MicroStrategy. • Strong SQL skills and experience working with relational databases. • Experience supporting both project-based development and production (RunOps) environments. • Strong analytical, troubleshooting, and problem-solving skills. • Excellent communication and collaboration skills.

🏖️ Benefits

• 6+ years of professional experience in Data Engineering, Business Intelligence, or Analytics development. • Professional proficiency in English. • Hands-on experience with dbt. • Experience building data preparation workflows using Alteryx. • Strong understanding of ETL/ELT processes and modern data pipeline development. • Proficiency in Python for scripting and automation. • Experience developing dashboards and reports using MicroStrategy. • Strong SQL skills and experience working with relational databases. • Experience supporting both project-based development and production (RunOps) environments. • Strong analytical, troubleshooting, and problem-solving skills. • Excellent communication and collaboration skills.