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Posted May 25, 2026

Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development and Support

At careerzynith, we're on a mission to revolutionize the way we collect, process, and analyze data to drive business growth and innovation. As a key member of our Data Engineering team, you'll play a critical role in designing, developing, and maintaining scalable data pipelines that support our Media business. If you're passionate about working with large datasets, cloud-based technologies, and collaborative teams, we want to hear from you! **About careerzynith** careerzynith is a leading entertainment and media conglomerate that brings joy and wonder to people around the world. Our company is built on a rich legacy of innovation, creativity, and customer-centricity. We're committed to using technology to drive business growth, improve customer experiences, and make a positive impact on society. **Job Summary** We're seeking an experienced Full Stack Data Engineer to join our Data Engineering team at careerzynith. As a key member of this team, you'll be responsible for designing, developing, and maintaining scalable data pipelines that support our Media business. You'll work closely with cross-functional teams to gather requirements, design data pipelines, and implement solutions using a range of technologies, including SQL, Python, Docker, and GitLab. **Key Responsibilities** * Design, develop, and maintain scalable data pipelines that support our Media business * Collaborate with cross-functional teams to gather requirements, design data pipelines, and implement solutions * Develop and maintain ETL/ELT data pipelines using SQL, Python, and other technologies * Create and maintain data sets, tables, and views using data modeling techniques * Deliver datasets as input to science models and visualizations * Develop and maintain automated work schedulers to ensure data pipeline efficiency * Collaborate with data scientists and analysts to ensure data quality and accuracy * Participate in code reviews and ensure adherence to coding standards and best practices * Troubleshoot and resolve data pipeline issues in a timely and efficient manner **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 creating in a multi-environment (Dev, QA, Prod, etc.) and DEVOPS strategies for code organization and development * Experience creating and maintaining automated work schedulers * Strong understanding of data modeling and data warehousing concepts * Experience working with large datasets and big data technologies, ideally cloud-based (e.g., Snowflake, Databricks) **Preferred Qualifications** * Experience working with cloud-based technologies, such as AWS * Proficiency in cloud design and product offerings, ideally AWS * Experience overseeing and delivering code using a source control tool like GitLab/GitHub * Experience using Docker * Experience with data visualization tools and techniques * Experience with machine learning and artificial intelligence technologies **What We Offer** * Competitive salary and benefits package * Opportunity to work with a leading entertainment and media conglomerate * 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're passionate about working with data, technology, and collaborative teams, we want to hear from you! Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! **careerzynith is an equal opportunities employer** We're committed to creating a diverse and inclusive work environment that reflects the communities we serve. We welcome applications from qualified candidates of all backgrounds, cultures, and perspectives.