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

Remote Full-time
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 leading player in the entertainment industry, we're constantly seeking talented individuals to join our team and help us achieve our goals. If you're a skilled data engineer with a passion for cloud-based data pipeline development and support, we want to hear from you!

**About careerzynith**

careerzynith is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our company is built on a foundation of imagination, technology, and collaboration, and we're committed to pushing the boundaries of what's possible. From our iconic theme parks and resorts to our cutting-edge media and entertainment platforms, we're always looking for new ways to engage and inspire our audiences.

**The Role**

We're seeking an experienced data engineer to join our Data Engineering team at careerzynith. As a data engineer, you'll play a critical role in designing, developing, and maintaining our cloud-based data pipelines, ensuring that our data is accurate, reliable, and easily accessible to our stakeholders. You'll work closely with our data scientists, analysts, and product teams to identify business needs and develop innovative solutions that drive business growth and innovation.

**Key Responsibilities**

* Design, develop, and maintain cloud-based data pipelines using technologies such as Snowflake, PostgreSQL, and Python
* Collaborate with data scientists, analysts, and product teams to identify business needs and develop innovative solutions
* Develop and maintain data sets, tables, and views to support business intelligence and analytics
* Create and maintain ETL/ELT pipelines to extract, transform, and load data from various sources
* Develop and maintain automated workflows and schedulers to ensure data is processed and delivered on time
* Work with cross-functional teams to identify and resolve data-related issues and improve data quality
* Stay up-to-date with industry trends and emerging technologies to ensure careerzynith remains at the forefront of data innovation

**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
* Proficient in Python and SQL, with experience working with Snowflake and PostgreSQL
* Experience with cloud-based data platforms, 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
* Proficient in cloud design and product development, with experience working with AWS
* Experience with automated workflows and schedulers
* Strong understanding of data modeling and data architecture
* Experience with data visualization tools and technologies

**What We Offer**

* Competitive salary and benefits package
* Opportunity to work with a global leader in the entertainment industry
* 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 a motivated and talented data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you!

**Contact Information**

careerzynith
[careerzynith.com](http://careerzynith.com)
[[email protected]](mailto:[email protected])

**Equal Employment Opportunity**

careerzynith 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.

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