Experienced 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 and developing scalable, cloud-based data pipelines that enable our business leaders to make informed decisions.

**About careerzynith**

careerzynith is a leading entertainment and media conglomerate, home to some of the world's most beloved brands, including Disney, Pixar, Marvel, and Star Wars. Our company is built on a rich legacy of innovation, creativity, and customer obsession. We're committed to pushing the boundaries of what's possible and creating unforgettable experiences for our audiences around the world.

**Job Summary**

We're seeking an experienced Data Engineer to join our team and help us build and maintain a robust, cloud-based data infrastructure that supports our Media business. As a Data Engineer, you'll work closely with our Choice Science, Client, and Innovation colleagues to design, develop, and deploy data pipelines that meet the evolving needs of our business.

**Key Responsibilities**

* Design and develop scalable, cloud-based data pipelines using SQL, Python, and other relevant technologies
* Collaborate with cross-functional teams to gather requirements, plan, and execute data pipeline projects
* Develop and maintain ETL/ELT data pipelines, data set designs, and data visualization strategies
* Work with large datasets and big data technologies, such as Snowflake, Databricks, or similar
* Develop and deploy code using a source control tool like GitLab or GitHub
* Use Docker to containerize and deploy applications
* Collaborate with our Data Engineering team to design and implement data governance and quality control processes
* Develop and maintain automated workflows and schedulers to ensure data pipeline efficiency and reliability

**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
* Strong experience with Python and SQL, with a focus on Snowflake and PostgreSQL
* Experience with cloud-based data technologies, such as Snowflake, Databricks, or similar
* Experience with containerization using Docker
* Experience with source control tools like GitLab or GitHub
* Strong understanding of data governance and quality control principles

**Preferred Qualifications**

* Experience working with large datasets and big data technologies
* Experience with cloud design and product development, ideally with AWS
* Experience with automated workflow and scheduler development
* Experience with data visualization tools and technologies
* Strong understanding of data security and compliance principles

**What We Offer**

* Competitive salary and benefits package
* Opportunity to work with a talented team of data engineers and scientists
* 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 data engineering and want to join a team that's pushing the boundaries of what's possible, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role.

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