Experienced Full Stack 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 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.

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