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Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support

Work from home Full-time role Hiring

At arenaflex, we're on a mission to revolutionize the way we collect, process, and analyze data to drive business decisions and create unparalleled experiences for our customers. As a key member of our Data Engineering team, you'll play a critical role in shaping the future of our Media business by designing and developing innovative data pipelines and solutions.

About arenaflex

arenaflex is a leading entertainment and media conglomerate, home to some of the most beloved brands in the world, including Disney, Pixar, Marvel, Star Wars, and more. 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 new experiences that captivate and inspire audiences around the globe.

About the Role

We're seeking an experienced Data Engineer to join our team and help us drive business value through data-driven insights. As a Data Engineer, you'll be responsible for designing, developing, and maintaining large-scale data pipelines and systems that support our Media business. You'll work closely with cross-functional teams, including Data Science, Product, and Engineering, to ensure that our data solutions meet the needs of our business stakeholders.

Key Responsibilities

* Design and develop large-scale data pipelines and systems using cloud-based technologies such as Snowflake, Databricks, and AWS

  • Collaborate with Data Science teams to develop and deploy data models and machine learning algorithms
  • Develop and maintain ETL/ELT pipelines using Python, SQL, and other programming languages
  • Design and implement data governance and quality control processes to ensure data accuracy and integrity
  • Work with cross-functional teams to identify business requirements and develop data solutions that meet those needs
  • Develop and maintain automated workflows and scripts to streamline data processing and delivery
  • Collaborate with DevOps teams to ensure that data systems are scalable, secure, and highly available

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
  • Strong experience with Python and SQL, with a focus on cloud-based databases such as Snowflake and PostgreSQL
  • Experience with containerization using Docker and orchestration using Kubernetes
  • Experience with source control systems such as GitLab and GitHub
  • Strong understanding of data governance and quality control principles

Preferred Qualifications

* Experience working with large datasets and big data technologies such as Hadoop and Spark

  • Proficiency in cloud design and deployment using AWS
  • Experience with data visualization tools such as Tableau and Power BI
  • Experience with machine learning frameworks such as TensorFlow and PyTorch
  • Strong understanding of data architecture and design principles

What We Offer

* Competitive salary and benefits package

  • Opportunity to work with a leading entertainment and media company
  • 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 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

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