Tiger Analytics

Compensation

Full Description

Job Title: Principal Data Engineer (Azure and Databricks) Company Overview: Tiger Analytics is a global AI and analytics consulting firm dedicated to transforming data into actionable insights that drive business success. Headquartered in Silicon Valley, we pride ourselves on a culture of expertise, innovation, and collaboration, serving clients across various industries worldwide. Role Overview: As a Principal Data Engineer, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. Your role is pivotal in enabling data-driven decision-making by building robust data pipelines and architectures that support advanced analytics and AI initiatives. What You'll Do: - You will design, develop, and maintain scalable data pipelines and architectures on Azure and Databricks. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. - You will lead the integration of diverse data sources ensuring data quality, reliability, and security. - You will mentor and guide junior engineers, fostering a culture of continuous learning and improvement. - You will optimize data workflows for performance and cost-efficiency. - You will implement best practices for data governance and compliance. - You will stay current with emerging technologies and recommend innovative solutions. - You will contribute to strategic planning and roadmap development for data engineering initiatives. What You Bring: - 7+ years of experience in data engineering with a strong focus on Azure cloud services and Databricks. - Proficiency in programming languages such as Python, Scala, or SQL. - Deep understanding of data modeling, ETL processes, and big data technologies. - Experience with data warehousing solutions and real-time data processing. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to effectively interact with technical and non-technical stakeholders. Bonus Points If You Have: - Experience with machine learning pipelines and AI integration. - Knowledge of DevOps practices and CI/CD pipelines for data engineering. - Familiarity with other cloud platforms like AWS or GCP. - Certifications in Azure Data Engineering or related fields. What We Offer: - We offer a dynamic and inclusive work environment that fosters innovation and growth. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional development and continuous learning. - We offer flexible work arrangements to support work-life balance. - We offer the chance to work on cutting-edge projects impacting global clients. Ready to Apply? If you are passionate about leveraging data to drive impactful business outcomes and meet the qualifications above, please submit your resume and cover letter to our careers page at www.tigeranalytics.com/careers.