Senior Data Engineer – Data Pipeline Development and Cloud Architecture
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 Senior Data Engineer on our Item Execution and Instrumentation team, you'll play a critical role in designing and building scalable data pipelines and architectures that meet the needs of our diverse portfolio of brands and digital experiences.
About arenaflex
arenaflex is a leading entertainment and media conglomerate that has been a household name for generations. Our company is home to some of the most beloved brands in the world, including Disney, ESPN, and Pixar. We're committed to pushing the boundaries of innovation and creativity, and we're always looking for talented individuals who share our passion for excellence.
Job Summary
We're seeking a highly skilled Senior Data Engineer to join our Item Execution and Instrumentation team. As a Senior Data Engineer, you'll be responsible for designing, building, and maintaining large-scale data pipelines and architectures that support our business operations. You'll work closely with cross-functional teams to identify business needs and develop solutions that meet those needs. If you're a seasoned data engineer with a passion for innovation and a strong technical foundation, we want to hear from you!
Key Responsibilities
* Design and build scalable data pipelines and architectures using Scala, Python, and other programming languages
- Develop and maintain ETL pipelines in big data environments (cloud, on-prem, hybrid)
- Collaborate with data engineers, data scientists, and other stakeholders to design, implement, and deploy data solutions
- Work with key partners to implement Lakehouse architecture and migrate to a Lakehouse-driven data platform
- Develop and maintain detailed documentation of data pipelines and architectures to ensure data quality and governance
- Ensure high operational efficiency and quality of data solutions to meet SLAs and support obligations to our clients (Data Science, Data Engineering teams)
- Participate in agile/scrum practices to ensure team health and collaboration
- Identify and solve complex technical problems and opportunities for automation and cost optimization
- Engage with and understand our clients, building relationships that enable us to deliver innovative new solutions and steady platform enhancements
Required Qualifications
* Bachelor's degree in Computer Science, Data Science, or related field, or equivalent work experience
- Strong algorithmic thinking and problem-solving skills
- Solid SQL skills and ability to write queries to extract data and build performant datasets
- Experience with cloud technologies like AWS (S3, EMR, EC2)
- Experience with big data technologies like Snowflake, Redshift, or other MPP databases
- Strong experience with data integration toolsets like Wind current and data pipelines with Databricks
- Experience with data modeling and data warehousing best practices
- Familiarity with agile and scrum methodologies
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Preferred Qualifications
* Master's degree in Computer Science, Data Science, or related field
- Experience with data engineering tools like Apache Beam, Apache Spark, or other big data processing frameworks
- Experience with cloud-based data platforms like AWS Lake Formation or Google Cloud Data Fusion
- Experience with data governance and data quality frameworks
- Experience with DevOps and continuous integration/continuous deployment (CI/CD) pipelines
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a leading entertainment and media conglomerate
- 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 explaining why you're the ideal candidate for this role. Apply Now We're an equal opportunities employer and welcome 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