Experienced Full Stack Data Engineer – Advertising Information Systems Development at arenaflex
Job Summary:
Join arenaflex, the world's leading streaming entertainment service, as a Full Stack Data Engineer in our Advertising Information Systems Development team. We're seeking a highly skilled and motivated individual to design, build, and extend our core advertising data models, ensuring the delivery of high-quality information to drive business decisions. If you're passionate about data engineering, have experience working with advertising data, and enjoy collaborating with cross-functional teams, this is the perfect opportunity to join our dynamic team.
About arenaflex:
arenaflex is the world's leading streaming entertainment service, with over 220+ million subscribers in more than 190 countries. We're committed to delivering high-quality content across a wide range of genres and languages. In November 2022, we expanded our business by introducing an ad-supported tier, making our service available to an even broader audience. Our Advertising Information Systems Development team plays a critical role in building a robust data ecosystem that informs our understanding and decision-making around advertising.
Job Details:
*
Job Title:
Full Stack Data Engineer – Advertising Information Systems Development
Location:
Los Gatos, USA
Employment Type:
Full-time
Work Hours:
8 hours
Salary:
$25/hour
Industry:
Private
About the Role:
As a Full Stack Data Engineer in our Advertising Information Systems Development team, you'll be responsible for designing, building, and extending our core advertising data models. You'll work closely with cross-functional teams, including Examination Architects, Information Researchers, and Computer Programmers, to create data pipelines that deliver high-quality information to drive business decisions. Your expertise in data modeling, data warehousing, and data transformation will be essential in ensuring the scalability, security, and business impact of our advertising data systems.
Responsibilities:
* Design, build, and extend our core advertising data models to address business questions
- Collaborate with partners to identify needs, model tables using programming and data warehouse best practices, and develop data pipelines to ensure the convenient delivery of high-quality information
- Work with Examination Architects, Information Researchers, and Computer Programmers to create data indexes that serve analysis and reporting needs intuitively
- Foster best practices for the administration of data indexes with sensitive data
- Build strong and collaborative relationships with data researchers, analysis specialists, and AI experts
Requirements:
* Bachelor's degree in Computer Science, Information Technology, or related field
- 2+ years of experience in data engineering, with a focus on advertising data
- Strong foundation in data modeling, data warehousing, and data transformation
- Proficiency in programming languages such as SQL, Python, and Java
- Experience with big data technologies such as Hadoop, Flash, Pig, Hive, Voila, and others
- Familiarity with data visualization tools and techniques
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Preferred Qualifications:
* Experience with data warehousing and data transformation tools such as Apache Hive, Apache Pig, and Apache Spark
- Familiarity with data governance and data quality frameworks
- Experience with cloud-based data platforms such as Amazon Web Services (AWS) or Microsoft Azure
- Strong understanding of data security and compliance regulations such as GDPR and CCPA
- Experience with data visualization tools such as Tableau, Power BI, or D3.js
What We Offer:
* Competitive salary and benefits package
- Opportunity to work with a leading streaming entertainment service
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible work arrangements, including remote work options
- Access to cutting-edge technology and tools
- Recognition and rewards for outstanding performance
How to Apply:
If you're passionate about data engineering and have a strong background in advertising data, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply Now! Apply for this job