Experienced Full Stack Data Engineer – Web & Cloud Application Development
Join arenaflex's Innovative Team and Unlock Your Career Potential
Are you a highly motivated and skilled data engineer looking for a challenging role that will take your career to the next level? Do you have a passion for working with large datasets, designing scalable data architectures, and developing innovative data solutions? If so, we have an exciting opportunity for you to join arenaflex's dynamic team as a Lead Data Engineer.
About arenaflex
arenaflex is a leading innovator in the entertainment industry, pushing the boundaries of what is possible with technology and creativity. Our commitment to innovation and excellence has earned us a reputation as a trusted partner for some of the world's most iconic brands. As a Lead Data Engineer at arenaflex, you will be part of a talented team that is shaping the future of entertainment and media.
Job Summary
We are seeking an experienced Lead Data Engineer to join our Information and Investigation group for Disney Web-based features (DSS), a section under the Disney Diversion and ESPN Innovation (DE&ET). As a Lead Data Engineer, you will play a critical role in designing and developing scalable data architectures, data warehouses, and data pipelines to support our business needs. You will work closely with cross-functional teams to ensure that our data solutions meet the highest standards of quality and performance.
Key Responsibilities
* Design and develop scalable data architectures, data warehouses, and data pipelines to support our business needs
- Plan and implement data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid)
- Collaborate with Data Product Managers, Data Modelers, and Data Architects to design, implement, and deliver successful data solutions
- Develop and maintain detailed documentation of your work and changes to ensure data quality and data governance
- Ensure high operational productivity and quality of your solutions to meet SLAs and support our clients (Data Science, Data Analysis groups)
- Participate in Agile/Scrum practices to ensure team health and cycle improvements
Essential Qualifications
* Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in data engineering, data architecture, or related field
- Strong SQL skills and ability to write queries to extract data and build performant datasets
- Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process data
- Strong programming skills in Python, Java/Scala
- Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
- Strong experience in data integration toolsets (i.e. Wind current) and writing and maintaining data pipelines
- Strong knowledge of data modeling strategies and data warehousing standard practices and procedures
- Familiarity with Scrum and Agile approaches
Preferred Qualifications
* Experience with cloud technologies like AWS (S3, EMR, EC2)
- Strong experience in data governance and data quality
- Experience with data visualization tools like Tableau, Power BI
- Strong knowledge of machine learning algorithms and techniques
- Experience with containerization and orchestration tools like Docker, Kubernetes
Skills and Competencies
* Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment with multiple priorities
- Strong attention to detail and ability to deliver high-quality results
- Strong knowledge of data engineering principles and practices
- Familiarity with data governance and data quality principles and practices
Career Growth Opportunities and Learning Benefits
* Opportunities for career growth and professional development
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Opportunities for mentorship and knowledge sharing
- Flexible work arrangements and remote work options
Work Environment and Company Culture
* arenaflex is a remote-friendly company with a flexible work arrangement
- Collaborative and dynamic work environment with a focus on innovation and creativity
- Opportunities for professional growth and development
- Access to cutting-edge technologies and tools
- Flexible work arrangements and remote work options
Compensation, Perks, and Benefits
* Competitive salary and benefits package
- Opportunities for career growth and professional development
- Access to cutting-edge technologies and tools
- Flexible work arrangements and remote work options
- Collaborative and dynamic work environment with a focus on innovation and creativity
How to Apply
If you are a motivated and skilled data engineer looking for a challenging role that will take your career to the next level, please submit your application today. We look forward to hearing from you! Apply To This Job Apply for this job