Experienced Full Stack Data Engineer – Data Science and Analytics at arenaflex
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 leading entertainment and media company, we're constantly seeking talented individuals to join our team and help us push the boundaries of what's possible. If you're a data enthusiast with a passion for solving complex problems, we want to hear from you!
About arenaflex
arenaflex is a global leader in the entertainment and media industry, with a rich history of innovation and creativity. From the magic of Disney to the excitement of ESPN, our brands are synonymous with quality and entertainment. At arenaflex, we're committed to using data and analytics to drive business decisions, improve customer experiences, and create new opportunities for growth.
Job Summary
We're seeking an experienced Full Stack Data Engineer to join our Data Science and Analytics team at arenaflex. As a key member of our team, you'll be responsible for designing, developing, and deploying scalable data solutions that meet the needs of our business stakeholders. If you have a strong technical background, a passion for data analysis, and excellent problem-solving skills, we want to hear from you!
Key Responsibilities
As a Full Stack Data Engineer at arenaflex, you'll be responsible for:
- Designing and developing data pipelines, data warehouses, and data lakes to support business intelligence and analytics initiatives
- Collaborating with data scientists, data analysts, and business stakeholders to understand data requirements and develop solutions that meet their needs
- Developing and maintaining ETL (Extract, Transform, Load) pipelines in large data environments (cloud, on-prem, hybrid)
- Working with a range of technologies, including Hadoop, AWS, Snowflake, and Python
- Ensuring high-quality data and data governance through detailed documentation and change management
- Collaborating with cross-functional teams to design, implement, and deploy data solutions that meet business requirements
- Ensuring high operational efficiency and quality of solutions to meet SLAs and support obligations to our clients (Data Science, Data Analysis groups)
- Participating in agile/scrum practices to ensure team well-being and cycle enhancements
Key Capabilities
To succeed in this role, you'll need:
- Strong SQL skills and ability to write queries to extract insights from 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 with data integration toolsets (i.e. Wind current) and writing and maintaining data pipelines
- Strong knowledge of data modeling strategies and data warehousing standard systems and practices
- Familiarity with Scrum and Agile approaches
- Strong problem-solving skills with excellent logical and relational abilities
- Experience with cloud technologies like AWS (S3, EMR, EC2) is a plus
What We Offer
As a Full Stack Data Engineer at arenaflex, you'll have the opportunity to work on exciting projects, collaborate with talented colleagues, and develop your skills in a dynamic and supportive environment.
We offer
- Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools
- Flexible work arrangements and remote work options
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated and talented data professional looking for a new challenge, we want to hear from you! Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!
Note:
arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. We're committed to creating an inclusive and supportive work environment that values diversity, equity, and inclusion. Apply for this job