Experienced Full Stack Data Engineer – Cloud-Based Data Pipeline Development at careerzynith

Job Highlights:

*

Location:

Remote

Compensation:

Competitive salary

Position:

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

Start Date:

Immediate openings available

Company:

careerzynith

Job Description:

Introduction:

At careerzynith, we're a forward-thinking organization that's revolutionizing the way we approach data-driven decision-making. Our team of innovative professionals is dedicated to harnessing the power of data to drive business growth and success. We're now seeking an experienced Full Stack Data Engineer to join our dynamic team and contribute to the development of our cloud-based data pipeline infrastructure.

Job Summary:

We're looking for a highly skilled and motivated Full Stack Data Engineer to design, develop, and implement scalable data pipelines using a range of cutting-edge technologies. As a key member of our data engineering team, you'll work closely with our Studios and Innovation colleagues to gather data requirements, design and implement data pipelines, and ensure seamless data flow across multiple environments. If you're passionate about data engineering and have a strong background in cloud-based technologies, we'd love to hear from you!

Key Responsibilities:

* Design and develop scalable data pipelines using a range of technologies, including SQL, Python, Docker, Gitlab, Wind current, Snowflake, Looker, and PostgreSQL

• Collaborate with our Studios and Innovation colleagues to gather data requirements, design and implement data pipelines, and ensure seamless data flow across multiple environments
• Develop and maintain ETL/ELT data pipelines using Wind current, Databricks, and other cloud-based technologies
• Work with large datasets and big data technologies, such as Snowflake, Databricks, or similar
• Participate in driving best practices around data engineering software development processes
• Stay up-to-date with the latest trends and technologies in data engineering and cloud-based computing

Essential Qualifications:

* 2+ years of experience with SQL

• 2+ years of experience designing, developing, and maintaining ETL/ELT data pipelines
• 2+ years of experience with cloud-based technologies, ideally AWS and S3
• 3+ years of experience in a data engineering role
• Strong knowledge of SQL, Python, Gitlab, Wind current, AWS S3, and social data sets
• 2+ years of experience working with a cloud platform
• 2+ years of experience working with data lakes, data warehouses, and application data sets
• Experience using Apache Wind current, Databricks
• 2+ years of experience using, designing, and building social data bases
• 2+ years of experience using Gitlab/Github
• 2+ years of experience using Docker
• Experience working with large datasets and big data technologies, ideally cloud-based, like Snowflake, Databricks, or similar

Preferred Qualifications:

* Experience with Wind current, Gitlab, Snowflake, Scene

• Graduate degree in Software engineering, Science, Designing, or a connected field
• Experience in streaming, media, or digital marketing area

Career Growth Opportunities and Learning Benefits:

At careerzynith, we're committed to helping our employees grow and develop their skills. As a Full Stack Data Engineer, you'll have access to a range of training and development opportunities, including:

• Regular training sessions and workshops on the latest data engineering technologies and trends
• Mentorship programs to help you develop your skills and expertise
• Opportunities to work on high-profile projects and contribute to the development of our cloud-based data pipeline infrastructure
• Collaborative and dynamic work environment with a team of experienced professionals

Work Environment and Company Culture:

At careerzynith, we're proud of our collaborative and dynamic work environment. Our team of experienced professionals is dedicated to delivering exceptional results and driving business growth. We're committed to fostering a culture of innovation, creativity, and continuous learning. As a Full Stack Data Engineer, you'll have the opportunity to work with a talented team of professionals and contribute to the development of our cloud-based data pipeline infrastructure.

Compensation, Perks, and Benefits:

We offer a competitive salary and a range of benefits, including:

• Competitive salary
• Comprehensive health insurance
• Retirement savings plan
• Paid time off and holidays
• Opportunities for professional development and growth

Conclusion:

If you're a highly skilled and motivated Full Stack Data Engineer with a passion for data engineering and cloud-based technologies, we'd love to hear from you! Apply now to join our dynamic team and contribute to the development of our cloud-based data pipeline infrastructure. Apply for this job