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. Headquartered in Silicon Valley, we serve clients across various industries, leveraging cutting-edge technology to solve complex business challenges. Our culture emphasizes expertise, collaboration, and a team-first mindset, fostering innovation and growth. Role Overview: As a Principal Data Engineer, you will lead the design and implementation of scalable data solutions using Azure and Databricks platforms. You will collaborate with cross-functional teams to drive data strategy and ensure the delivery of high-quality, efficient data pipelines that support advanced analytics and AI initiatives. What You'll Do: - You will design, develop, and maintain robust data pipelines and architectures on Azure and Databricks. - You will lead data engineering projects from conception through deployment, ensuring best practices and scalability. - You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. - You will optimize data workflows for performance, reliability, and cost-efficiency. - You will mentor and guide junior engineers, fostering a culture of continuous learning and improvement. - You will implement data governance and security standards to protect sensitive information. - You will stay current with emerging technologies and recommend innovative tools and approaches. What You Bring: - You have 7+ years of experience in data engineering, with a strong focus on Azure and Databricks platforms. - You possess advanced skills in SQL, Python, and Spark for data processing and transformation. - You have hands-on experience with cloud data services such as Azure Data Factory, Azure Synapse, and Azure Blob Storage. - You demonstrate expertise in building scalable, high-performance data pipelines and architectures. - You have strong problem-solving skills and the ability to communicate complex technical concepts clearly. - You hold a Bachelor’s degree in Computer Science, Engineering, or a related field. Bonus Points If You Have: - Experience with machine learning pipelines and integration with data engineering workflows. - Knowledge of containerization technologies like Docker and Kubernetes. - Familiarity with CI/CD processes and infrastructure as code (IaC) tools. - Prior experience in a consulting environment or working with diverse client teams. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer flexible work arrangements to support work-life balance. - We offer opportunities for professional development and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. - We offer the chance to work on impactful projects that influence millions globally. Ready to Apply? To join our dynamic team at Tiger Analytics, please submit your resume and a cover letter detailing your experience with Azure and Databricks to our careers portal at www.tigeranalytics.com/careers.