Experienced Full Stack Data Analytics & Science Engineer – Web & Cloud Application Development at blithequark

Join the blithequark Team and Shape the Future of Data-Driven Decision Making

Are you a seasoned data analytics and science professional looking for a new challenge? Do you have a passion for driving business growth through data-driven insights? Look no further than blithequark, a leading retail company that's revolutionizing the way we shop and live. As a Principal Engineer - Data Analytics & Science at blithequark, you'll have the opportunity to lead a team of talented engineers and drive the development of cutting-edge data analytics and science solutions that will shape the future of our business.

About blithequark

blithequark is a privately-held company that's been a leader in the retail industry for decades. With a strong commitment to innovation and customer satisfaction, we've built a reputation for excellence that's earned us a spot on Forbes' list of the "World's Best Companies." Our team is passionate about creating a culture that's inclusive, collaborative, and driven by a shared vision of success. As a member of our team, you'll have the opportunity to work with talented professionals from diverse backgrounds and industries, and to contribute to a company that's making a real difference in the lives of our customers.

Job Summary

As a Principal Engineer - Data Analytics & Science at blithequark, you'll be responsible for leading a team of engineers and driving the development of data analytics and science solutions that will shape the future of our business. You'll work closely with cross-functional teams to identify business needs and develop data-driven solutions that drive growth and innovation. You'll also be responsible for mentoring and coaching junior engineers, and for staying up-to-date with the latest advancements in data analytics and science.

Key Responsibilities

* Lead a team of engineers and drive the development of data analytics and science solutions that will shape the future of our business

• Work closely with cross-functional teams to identify business needs and develop data-driven solutions that drive growth and innovation
• Mentor and coach junior engineers to help them develop their skills and advance their careers
• Stay up-to-date with the latest advancements in data analytics and science, and apply this knowledge to drive business growth and innovation
• Collaborate with data scientists and analysts to develop and implement data-driven solutions that drive business growth and innovation
• Develop and maintain complex data models and reporting systems that provide insights and recommendations to business stakeholders
• Work with IT teams to design and implement data infrastructure and architecture that supports business growth and innovation
• Develop and implement data quality guidelines and best practices that ensure data accuracy and reliability
• Collaborate with business stakeholders to identify business needs and develop data-driven solutions that drive growth and innovation
• Develop and maintain documentation for data analytics and science processes, including data models, reporting systems, and data quality guidelines
• Stay up-to-date with industry trends and advancements in data analytics and science, and apply this knowledge to drive business growth and innovation

Essential Qualifications

* Bachelor's degree in Computer Science, Informatics, Information Science, or related field

• 15+ years of experience in data analytics and science, with a focus on leading teams and driving business growth and innovation
• 5+ years of experience in leadership or senior roles, with a focus on guiding and leading teams
• 5+ years of experience working with cloud technologies, including ADLS, Databricks, and other large data innovations
• Advanced skills in data analytics and science tools, languages, and systems, including Conos, PowerBI, SQL, Python, and R
• Experience working with cloud stages, including AWS, Azure, and Google Cloud, to model and implement scalable and efficient data analytics solutions
• Strong understanding of Lakehouse engineering standards, including the best of data lakes and data warehouses for powerful and adaptable data management
• High-level SQL skills, with a strong understanding of social data sets and business data capacity to write complex SQL queries against various data sources
• Experience managing high-volume and high-speed data streams, and designing systems that can handle the demands of real-time or near-real-time analysis
• Experience in shaping the essential vision for data analytics and science drives within an organization
• Successful management of data analytics projects, including planning, execution, and delivery
• Proven ability to drive innovation, adapt to emerging technologies, and execute industry best practices
• Proven ability to take ownership and accountability of critical issues and resolve them to closure
• Strong critical thinking and problem-solving skills

Preferred Qualifications

* Master's or Ph.D. in Computer Science, Informatics, Information Science, or related field

• Significant industry certifications, such as Certified Data Scientist or Certified Analytics Professional
• Experience in retail, manufacturing, e-commerce, or supply chain management

What We Offer

* Competitive salary and benefits package

• Opportunity to work with a talented team of professionals from diverse backgrounds and industries
• Collaborative and inclusive work environment that's driven by a shared vision of success
• Opportunities for career growth and advancement, including training and development programs
• Flexible work arrangements, including remote work options and flexible hours
• Access to the latest technologies and tools, including cloud platforms, data analytics and science tools, and other innovative solutions

How to Apply

If you're a seasoned data analytics and science professional looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job