Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support
At arenaflex, 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 shaping the future of data-driven decision-making across our organization.
About arenaflex
arenaflex is a leading entertainment and media conglomerate, home to some of the world's most beloved brands, including Disney, Pixar, Marvel, and Star Wars. Our company is built on a rich legacy of innovation, creativity, and a passion for storytelling. We're committed to pushing the boundaries of what's possible and creating unforgettable experiences for our audiences around the world.
Job Summary
We're seeking an experienced Data Engineer to join our Data Engineering team at arenaflex. As a Data Engineer, you'll be responsible for designing, developing, and maintaining large-scale data pipelines and systems that support our business operations. You'll work closely with cross-functional teams to gather requirements, develop solutions, and ensure the smooth operation of our data infrastructure.
Key Responsibilities
* Design, develop, and maintain large-scale data pipelines and systems using cloud-based technologies such as Snowflake, Databricks, and AWS
- Collaborate with data scientists, analysts, and business stakeholders to gather requirements and develop solutions that meet their needs
- Develop and maintain ETL/ELT pipelines, data warehouses, and data lakes using tools such as SQL, Python, and Docker
- Ensure data quality, integrity, and security by implementing data governance policies and procedures
- Work with DevOps teams to implement continuous integration and continuous deployment (CI/CD) pipelines
- Develop and maintain automated workflows and schedulers to streamline data processing and delivery
- Collaborate with data engineers and architects to design and implement data architecture solutions
- Participate in code reviews and contribute to the development of best practices and standards for data engineering
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, with experience working with Snowflake and PostgreSQL
- Experience with cloud-based technologies such as AWS, Azure, or Google Cloud
- Experience with containerization using Docker and orchestration using Kubernetes
- Experience with source control systems such as GitLab or GitHub
- Experience with data governance and data quality frameworks
Preferred Qualifications
* Experience working with large datasets and big data technologies such as Hadoop, Spark, or NoSQL databases
- Experience with data warehousing and business intelligence tools such as Tableau or Power BI
- Experience with machine learning and artificial intelligence frameworks such as TensorFlow or PyTorch
- Experience with cloud-based data platforms such as Snowflake, Databricks, or AWS Lake Formation
- Experience with data security and compliance frameworks such as GDPR or HIPAA
What We Offer
* Competitive salary and benefits package
- Opportunity to work on high-impact projects that drive business growth and innovation
- Collaborative and dynamic work environment with a team of experienced professionals
- Professional development and growth opportunities, including training and mentorship programs
- Flexible work arrangements, including remote work options
- Access to cutting-edge technologies and tools, including cloud-based platforms and big data technologies
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 and a cover letter outlining your experience and qualifications for the role. We can't wait to hear from you! Apply Now! Apply for this job