Experienced Full Stack Data Engineer – Cloud-Based Data Pipelines and Architecture
At arenaflex, we're on a mission to revolutionize the way we design, develop, and deliver innovative data solutions that drive business growth and customer satisfaction. As a seasoned Full Stack Data Engineer, you'll play a critical role in shaping our data architecture and pipelines, leveraging cutting-edge technologies to drive business insights and decision-making.
Job Summary:
We're seeking an experienced Full Stack Data Engineer to join our team at arenaflex. As a Senior Information Designer, you'll be responsible for designing and executing ETL/ELT data pipelines, data set mapping/tables/perspectives, and building batch processes using Wind current for various projects. You'll collaborate with our Studios or Project Innovation colleagues in data requirements gathering, data approval pre-planning and review, creating and checking ETL/ELT data pipelines, and planning and executing data set diagram/tables/views across multiple environments like DEV, QA/UAT, and Prod.
About arenaflex:
arenaflex is a leading innovator in the private sector, dedicated to pushing the boundaries of data-driven innovation. Our team of experts is passionate about harnessing the power of data to drive business growth, customer satisfaction, and operational excellence. We're committed to fostering a culture of collaboration, innovation, and continuous learning, where our employees can grow and thrive.
Key Responsibilities:
* Design and execute ETL/ELT data pipelines using Wind current for various projects
- Collaborate with Studios or Project Innovation colleagues in data requirements gathering, data approval pre-planning and review, creating and checking ETL/ELT data pipelines, and planning and executing data set diagram/tables/views across multiple environments like DEV, QA/UAT, and Prod
- Use a wide range of technologies to satisfy the work, including but not limited to SQL, Python, Docker, Gitlab, Wind stream, Snowflake, Looker, and PostgreSQL
- Participate in driving best practices around data designing software development processes
- Work with huge datasets and large data advances, ideally cloud-based, like Snowflake, Databricks, or similar
- Collaborate with cross-functional teams to design and implement data-driven solutions
Essential Qualifications:
* 2+ years of experience with SQL
- 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
- 2+ years of experience with cloud-based advances, ideally AWS and S3
- 3+ years of experience in an Information Designing role
- SQL, Python, Gitlab, Wind stream, AWS S3, and Social Data sets
- 2+ years of experience working with a cloud stage
- 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 information bases
- 2+ years of experience using Gitlab/Github
- 2+ years of experience using Docker
- Experience working with huge datasets and large data advances, 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
What We Offer:
* Competitive salary: $28/hour
- Comprehensive benefits package, including medical, dental, and vision insurance
- Generous paid time off and holidays
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
What You'll Get:
* The opportunity to work with a talented team of data experts
- The chance to design and implement innovative data solutions
- The ability to work with a wide range of technologies and tools
- The opportunity to grow and develop your skills and expertise
- A dynamic and collaborative work environment
How to Apply:
If you're a motivated and experienced Full Stack Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job