**Experienced Full Stack Business Intelligence Engineer III – Data Modeling, Analytics, and Deep Learning Solutions**

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Are you an innovative and results-driven Business Intelligence Engineer with a passion for designing, developing, and implementing large-scale data models and BI solutions? Do you thrive in a fast-paced environment where you can leverage your technical expertise to drive business growth and success? If so, we invite you to join our team at Workwarp as a Business Intelligence Engineer III, where you will play a critical role in shaping our data-driven strategy and delivering cutting-edge analytics and deep learning solutions.AboutWorkwarpAt Workwarp, we are a forward-thinking organization that is revolutionizing the way businesses approach data-driven decision-making. Our team of experts is dedicated to harnessing the power of data to drive growth, improve efficiency, and enhance customer experiences. As a Business Intelligence Engineer III, you will be part of a dynamic team that is passionate about innovation, collaboration, and excellence.Role OverviewAs a Business Intelligence Engineer III, you will be responsible for designing, developing, implementing, testing, documenting, and operating large-scale data models and BI solutions for analytics and deep learning. Your primary focus will be on creating robust data ingestion routines, providing online reporting and analysis, and translating business requirements into scalable solutions within the overall data architecture. You will work closely with cross-functional teams to gather business and functional requirements, and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.Key Responsibilities* Implement data ingestion routines both real-time and batch using best practices in data modeling, ETL/ELT processes.* Provide online reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.* Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.* Produce comprehensive, usable data set documentation, metadata, BI reports, dashboards, and insights.* Collaborate with cross-functional teams to identify business needs and develop solutions that meet those needs.* Develop and maintain data models, data warehouses, and data lakes to support business intelligence and analytics.* Design and implement data visualization solutions using tools like Tableau, Looker, Quicksight, or similar.* Develop and maintain automated data warehousing environments for production reports or tables.* Ensure data quality, integrity, and security in all data models and BI solutions.Essential Qualifications* Bachelor's degree in Computer Science, Engineering, Mathematics, Supply Chain, Business Administration, or a related field.* 5 years of experience in relevant fields, including 2 years in SQL and data modeling.* Experience building automated data warehousing environments for production reports or tables.* Experience with Redshift, Snowflake DWH's, and S3 or similar data lakes.* Proficiency in data visualization tools like Tableau, Looker, Quicksight or similar.* Experience building self-serve BI solutions, canned reports, and enterprise-level BI solutions.* Data modeling experience in large data warehousing and data lake environments.* Proficiency in Python/R or similar coding languages.* Ability to draw insights from data and communicate them clearly to partners and senior management.* Understanding of data management fundamentals and data storage principles.* Experience with BI tools for ETL, including Airflow.Nice-to-Haves* Master's degree in Computer Science, Engineering, Mathematics, Supply Chain, Business Administration, or a related field.* Experience with cloud-based data platforms like AWS, Azure, or Google Cloud.* Experience with machine learning and deep learning frameworks like TensorFlow, PyTorch, or Keras.* Experience with data governance and data quality frameworks.* Experience with agile development methodologies like Scrum or Kanban.BenefitsAt Workwarp, we offer a comprehensive benefits package that includes:* 401k* Employee Referral Program* Medical/Rx insurance* Vision insurance* Dental insurance* Life insurance* Disability insurance* Hospital indemnity insurance* Critical illness insurance* Accident insurance* Parental leave* Family services benefits* Backup dependent care* Flexible spending accounts* Telemedicine* Pet adoption reimbursement* Employee assistance program* Discounts on pet insurance and Chewy.com* Unlimited paid time off (PTO) for salaried-exempt Team Members* Six paid holidays per year* Paid sick and family leave in compliance with applicable regulations.Career Growth Opportunities and Learning BenefitsAt Workwarp, we believe in investing in our employees' growth and development. As a Business Intelligence Engineer III, you will have opportunities to:* Participate in training and development programs to enhance your skills and knowledge.* Collaborate with cross-functional teams to develop and implement new projects and initiatives.* Take on leadership roles and mentor junior team members.* Attend industry conferences and events to stay up-to-date with the latest trends and technologies.* Pursue certifications and advanced degrees to enhance your career prospects.Work Environment and Company CultureAt Workwarp, we value a collaborative and inclusive work environment that fosters creativity, innovation, and excellence. Our team is passionate about delivering high-quality solutions that meet the needs of our customers and stakeholders. We believe in:* Open communication and transparency* Continuous learning and professional development* Collaboration and teamwork* Innovation and creativity* Excellence and quality* Diversity and inclusionHow to ApplyIf you are a motivated and results-driven Business Intelligence Engineer with a passion for innovation and excellence, we invite you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant certifications or references to [insert contact information]. We look forward to hearing from you!Apply for this job

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