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Posted Jun 27, 2026

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

**About careerzynith** careerzynith is a leading entertainment and media conglomerate, renowned for its innovative approach to storytelling and immersive experiences. As a pioneer in the industry, careerzynith continues to push the boundaries of creativity and technology, captivating audiences worldwide. Our commitment to excellence is reflected in our cutting-edge products and services, which have become an integral part of modern entertainment. **Job Summary** careerzynith is seeking an experienced Full Stack Data Engineer to join our Data Engineering team, responsible for the development and support of cloud-based data pipelines. As a key member of our team, you will play a vital role in designing, implementing, and maintaining scalable data architectures that drive business value and inform strategic decision-making. If you're passionate about data engineering, cloud computing, and collaboration, we encourage you to apply for this exciting opportunity. **Key Responsibilities** * Collaborate with cross-functional teams, including Data Science, Product, and Engineering, to design and implement data pipelines that meet business requirements * Develop and maintain ETL/ELT pipelines using SQL (Snowflake and PostgreSQL), Python, and other relevant technologies * Design and implement data warehouse and data mart architectures to support business intelligence and analytics * Ensure data quality, integrity, and security through data validation, data profiling, and data governance * Develop and maintain automated workflows and data pipelines using tools like Docker, GitLab, and Wind stream * Troubleshoot and resolve data-related issues, collaborating with stakeholders to identify root causes and implement solutions * Stay up-to-date with industry trends, best practices, and emerging technologies to continuously improve data engineering processes and architectures **Essential Qualifications** * Bachelor's degree in Computer Science, Mathematics, Engineering, or a 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 data platforms, such as Snowflake, Databricks, or similar * Strong understanding of data warehousing and data mart architectures * Experience with source control systems, such as GitLab or GitHub * Familiarity with Docker and containerization **Preferred Qualifications** * Experience working with large datasets and big data technologies * Proficiency in cloud design and product offerings, ideally AWS * Experience managing and deploying code using a source control system * Familiarity with data governance and data quality frameworks * Strong understanding of data visualization and business intelligence tools **What We Offer** * Competitive salary and benefits package * Opportunity to work with a leading entertainment and media company * Collaborative and dynamic work environment * Professional growth and development opportunities * Flexible work arrangements, including remote work options * Access to cutting-edge technologies and tools * Recognition and rewards for outstanding performance **Work Environment and Culture** careerzynith is committed to fostering a culture of innovation, creativity, and collaboration. Our team is passionate about delivering exceptional experiences and pushing the boundaries of what's possible. We value diversity, inclusion, and employee well-being, providing a supportive and inclusive work environment that encourages growth and development. **How to Apply** If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to [insert contact information]. We can't wait to hear from you! **Note:** careerzynith is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and accessible work environment that values diversity, equity, and inclusion.