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Experienced Full Stack Data Engineer – Remote Media Business Solutions at Blithequark

Worldwide Salaried Open

Join the Innovative Team at Blithequark

Blithequark is a pioneering organization that has been revolutionizing the entertainment industry for decades. Our Data Science and Media teams are at the forefront of innovation, and we're looking for a talented Data Engineer to join our team. As a Data Engineer at Blithequark, you will have the opportunity to work on exciting projects, collaborate with cross-functional teams, and contribute to the development of cutting-edge solutions.

About Blithequark's Data Science and Media Teams

Blithequark's Data Science and Media teams are responsible for supporting clients across the organization, including Parks, Resorts, Customer Products, and Media divisions. We use innovative technologies, data analysis, and modeling to drive business value and shape business decisions. Our Data Engineering team plays a critical role in partnering with stakeholders to develop and sustain products, provide data pipeline and database engineering services, and drive business growth.

Job Summary

We're seeking an experienced Data Engineer to join our Data Science and Media teams. As a Data Engineer, you will be responsible for developing and sustaining products for our Media business. You will work on various data engineering activities, including maintaining and improving data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process monitoring strategies.

Key Responsibilities

  • Design, develop, and maintain data pipelines and databases to support business intelligence and analytics
  • Collaborate with stakeholders to gather data requirements and develop source-to-target mappings
  • Develop and maintain ETL/ELT data pipelines using SQL, Python, and other technologies
  • Ensure data quality and integrity by implementing data validation and data cleansing processes
  • Develop and maintain automated workflows and schedulers to support data processing
  • Work with cross-functional teams to integrate data engineering solutions with business applications
  • Troubleshoot and resolve data engineering issues in a fast-paced environment

Requirements

To be successful in this role, you will need:

  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
  • 2+ years of experience in ELT/ETL data pipeline development and support
  • Proven experience with Python and SQL, preferably with Snowflake
  • Experience working in a multi-environment (Dev, QA, Prod, etc.) and DEVOP methodologies for code deployment and development
  • Experience developing and maintaining automated workflows and schedulers
  • Strong understanding of relational database design and functionality

Preferred Qualifications

The following qualifications will set you apart:

  • Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar
  • Proficiency in cloud architecture and product offerings, preferably AWS
  • Experience managing and delivering code using source control tools like GitLab/GitHub
  • Experience using Docker

What We Offer

At Blithequark, we offer a dynamic and supportive work environment that encourages growth and innovation. Here are some of the benefits and perks you can expect:

  • Competitive salary: $27/hour
  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Flexible work arrangements, including remote work options
  • Access to cutting-edge technologies and tools
  • Comprehensive benefits package

Why Join Blithequark?

At Blithequark, we're passionate about creating innovative solutions that bring joy and entertainment to people around the world. As a Data Engineer at Blithequark, you'll have the opportunity to work on exciting projects, collaborate with talented professionals, and contribute to the development of cutting-edge solutions. If you're looking for a challenging and rewarding career, we encourage you to apply!

How to Apply

If you're excited about this opportunity and think you'd be a great fit for our team, please submit your application. We can't wait to hear from you!

Apply for this job

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