**Join arenaflex, a leading entertainment and media company, in a remote work-from-home opportunity as a Senior Data Engineer.**
Are you a highly motivated and skilled data engineer looking for a challenging role that combines technical expertise with business acumen? Do you have a passion for designing and building scalable data systems that drive business value? Look no further than arenaflex, a global leader in entertainment and media, where we're seeking a Senior Data Engineer to join our Item Execution and Instrumentation Group.
**About arenaflex**
arenaflex is a world-renowned entertainment and media company that brings joy and inspiration to millions of people around the globe. Our company is home to some of the most beloved brands in the world, including Disney, ESPN, and Pixar. We're committed to innovation, creativity, and excellence in everything we do, and we're looking for talented individuals like you to join our team.
**About the Role**
As a Senior Data Engineer at arenaflex, you'll be responsible for designing, building, and maintaining large-scale data systems that support our business operations. You'll work closely with cross-functional teams to develop and implement data pipelines, data warehouses, and data lakes that provide insights and drive business value. You'll also collaborate with data scientists, data analysts, and other stakeholders to ensure that our data systems meet the needs of our business.
**Key Responsibilities**
* Design and develop scalable data systems that meet the needs of our business, including data pipelines, data warehouses, and data lakes
* Collaborate with cross-functional teams to develop and implement data solutions that drive business value
* Work with data scientists and data analysts to ensure that our data systems meet the needs of our business
* Develop and maintain detailed documentation of data systems and changes to ensure data quality and data governance
* Ensure high functional proficiency and quality of data solutions to meet SLAs and support our clients (Data Science, Data Analysis groups)
* Participate in agile/scrum practices to ensure team health and collaboration
* Identify and solve complex problems, researching and organizing to find solutions
* Seek out opportunities to automate processes and streamline costs
* Engage with and understand our clients, forming relationships that enable us to understand and focus on both innovative new offerings and steady platform enhancements
**Required Education, Experience/Abilities/Training**
* Strong algorithmic thinking ability
* Strong SQL skills and ability to write queries to extract data and build performant datasets
* Active experience with distributed systems, such as Spark and PySpark to query and handle data
* Strong skills in Scala and Python programming languages
* Strong hands-on experience with Cloud technologies like AWS (S3, EMR, EC2)
* Experience with at least one major MPP or cloud database technology (Ideally Snowflake, Redshift, BigQuery)
* Strong experience with data integration toolsets (i.e. Apache Beam) and writing and maintaining data pipelines with Databricks
* Experience in Data Modeling procedures and Data Warehousing standard approaches and practices
* Familiarity with Scrum and Agile approaches
* Demonstrated excellent interpersonal skills, including ability to work with others and build consensus in a cross-functional team towards an optimal result
**Required Education**
* Bachelor's degree in Computer Science, Data Science, or related field, or equivalent work experience
**What We Offer**
* Competitive salary range: $120,000 - $150,000 per year
* Comprehensive benefits package, including medical, dental, and vision insurance
* 401(k) matching program
* Paid time off and holidays
* Opportunities for professional growth and development
* Collaborative and dynamic work environment
* Flexible work arrangements, including remote work options
**How to Apply**
If you're a motivated and skilled data engineer looking for a challenging role that combines technical expertise with business acumen, 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!
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