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.
Apply for this job
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.
Apply for this job