**Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development and Support**
Are you a highly skilled data engineer with a passion for working with large datasets and cloud-based technologies? Do you have a strong background in software engineering, mathematics, or a related field? If so, we invite you to join the Data Engineering team at blithequark, a leading innovator in the entertainment industry.
**About blithequark**
blithequark is a global leader in the entertainment industry, with a rich history of creating magical experiences for audiences around the world. Our company is built on a foundation of innovation, creativity, and a commitment to excellence. We are constantly pushing the boundaries of what is possible, and we are seeking talented individuals like you to join our team.
**About the Data Engineering Team**
The Data Engineering team at blithequark is responsible for designing, developing, and maintaining the data pipelines that support our business operations. We work closely with cross-functional teams to ensure that our data is accurate, reliable, and easily accessible. Our team is passionate about using data to drive business decisions and improve customer experiences.
**Job Summary**
We are seeking an experienced Full Stack Data Engineer to join our team. As a Data Engineer at blithequark, you will be responsible for designing, developing, and maintaining cloud-based data pipelines that support our business operations. You will work closely with our data scientists, analysts, and engineers to ensure that our data is accurate, reliable, and easily accessible.
**Key Responsibilities**
* Design, develop, and maintain cloud-based data pipelines using technologies such as Snowflake, Databricks, and AWS
* Collaborate with data scientists, analysts, and engineers to ensure that our data is accurate, reliable, and easily accessible
* Develop and maintain ETL/ELT data pipelines using Python, SQL, and other technologies
* Create and maintain data sets, tables, and views using data modeling and database design principles
* Deliver datasets as input to science models and visualizations
* Work with cross-functional teams to ensure that our data is integrated with other systems and applications
* Develop and maintain automated workflows and schedulers using technologies such as Docker and GitLab
**Essential Qualifications**
* Bachelor's degree in Software Engineering, Mathematics, Computer Science, or a related field
* 2+ years of experience in ELT/ETL data pipeline development and support
* Strong knowledge of Python and SQL, with experience using Snowflake and PostgreSQL
* Experience working with cloud-based technologies such as AWS and Azure
* Experience using source control systems such as GitLab and GitHub
* Experience using Docker and containerization
**Preferred Qualifications**
* Experience working with large datasets and big data technologies such as Hadoop and Spark
* Experience using data modeling and database design principles
* Experience working with data visualization tools such as Tableau and Power BI
* Experience using machine learning and artificial intelligence technologies
* Experience working with agile development methodologies and DevOps practices
**What We Offer**
* Competitive salary and benefits package
* Opportunity to work with a leading innovator in the entertainment industry
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements, including remote work options
* Access to cutting-edge technologies and tools
* Recognition and rewards for outstanding performance
**How to Apply**
If you are a highly skilled data engineer with a passion for working with large datasets and cloud-based technologies, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. We look forward to hearing from you!