Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support
Are you a skilled data engineer looking to join a dynamic team at blithequark, a leading innovator in the entertainment industry? Do you have a passion for working with large datasets and cloud-based technologies? If so, we invite you to apply for the Data Engineer position at blithequark's Disney Choice Science + Mix (DDSI) association.
About blithequark
blithequark is a renowned entertainment company that has been captivating audiences for generations. Our commitment to innovation, creativity, and excellence has made us a leader in the industry. At blithequark, we believe that our employees are the driving force behind our success, and we strive to create an environment that fosters growth, learning, and collaboration.
About the DDSI Association
The DDSI association is responsible for supporting clients across blithequark, including the Disney Parks, Experiences and Products division, which encompasses Parks and Resorts, both domestic and international, Consumer Products, and Disney Interactive. Our team uses data science, analytics, and innovation to drive business decisions and create value. We are a dynamic and collaborative group that is passionate about using data to tell stories and drive business outcomes.
Job Summary
We are seeking an experienced Data Engineer to join our Information Designing (DE) team at blithequark's DDSI association. As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and datasets for our Media business. You will work closely with our Choice Science, Client, and Innovation colleagues on various projects, including data pipeline development, data set design, and data visualization.
Key Responsibilities
* Design, develop, and maintain data pipelines and datasets for our Media business
- Collaborate with cross-functional teams to gather requirements, plan, and execute data pipeline development and maintenance projects
- Develop and maintain ETL/ELT data pipelines using SQL (Snowflake and PostgreSQL), Python, Docker, and GitLab
- Design and implement data set schema, tables, and views
- Deliver datasets as input to science models and visualizations
- Develop and maintain automated work schedulers
- Collaborate with data scientists and analysts to develop and maintain data visualizations and reports
Essential Qualifications
* Bachelor's degree in Computer Science, Mathematics, Engineering, or related field
- 2+ years of experience in ELT/ETL data pipeline development and support
- Proficiency in Python and SQL (ideally with Snowflake)
- Experience with cloud-based technologies, such as Snowflake, Databricks, or similar
- Experience with source control systems, such as GitLab or GitHub
- Experience with Docker and containerization
Preferred Qualifications
* Experience working with large datasets and big data technologies
- Proficiency in cloud design and product contributions, ideally AWS
- Experience with data visualization tools, such as Tableau or Power BI
- Experience with machine learning and data science frameworks, such as TensorFlow or PyTorch
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a dynamic and innovative team
- Collaborative and inclusive 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 motivated and experienced data engineer looking for a new challenge, we invite you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!
Equal Employment Opportunity
blithequark is an equal employment opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful work environment that values diversity, equity, and inclusion.
Disclaimer
blithequark is not responsible for any errors or inaccuracies in this job posting. We reserve the right to modify or cancel this job posting at any time without notice. Apply for this job