**Experienced Full Stack Data Engineer – Web & Cloud Application Development at arenaflex**

Remote Full-time
**Join arenaflex, a leading innovator in the entertainment industry, as we seek a highly skilled and enthusiastic Lead Data Engineer to join our dynamic team!** At arenaflex, we're passionate about creating immersive experiences for our clients, sponsors, and content partners. Our Information and Investigation group for arenaflex Web-based features (DSS), a section under the arenaflex Diversion and ESPN Innovation (DE&ET), is at the forefront of this mission. We're on the hunt for a talented Lead Data Engineer to help us harness the power of Big Data and drive innovation in our data-driven initiatives. **About arenaflex** arenaflex is a global leader in the entertainment industry, with a rich history of innovation and creativity. Our commitment to excellence has earned us a reputation as a trusted partner for clients, sponsors, and content partners alike. At arenaflex, we're passionate about creating immersive experiences that captivate audiences worldwide. Our team of experts is dedicated to pushing the boundaries of what's possible, and we're looking for like-minded individuals to join our journey. **The Role** As a Lead Data Engineer at arenaflex, you'll play a critical role in shaping the future of our data-driven initiatives. You'll work closely with our Information Item Chiefs, Information Modelers, and Information Architects to design, develop, and deploy cutting-edge data solutions that drive business growth and innovation. Your expertise will be instrumental in helping us unlock the full potential of our data assets, and we're excited to have you on board! **Key Responsibilities** * Contribute to the development and implementation of our data items and data warehouses, focusing on Commitment and Maintenance Examination and Information Science * Design and develop flexible data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid) * Our tech stack includes Hadoop, AWS, Snowflake, Flash, and Wind stream, with languages including Python, Scala * Collaborate with Information Item Chiefs, Information Modelers, and Information Architects to design, implement, and deliver successful data solutions * Maintain detailed documentation of your work and changes to ensure data quality and data administration * Ensure high operational productivity and quality of your solutions to meet SLAs and support our clients (Information Science, Information Examination groups) * Be a proactive member and advocate of agile/scrum practice to ensure well-being and cycle enhancements for your team **Essential Qualifications** * Bachelor's degree in Computer Science, Information Technology, 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 involvement in data integration toolsets (i.e Wind current) and writing and maintaining data pipelines * Familiarity with Scrum and Agile approaches **Preferred Qualifications** * Experience with Cloud advances like AWS (S3, EMR, EC2) * Strong involvement in data modeling strategies and data warehousing standard systems and practices * Familiarity with Big Data technologies like Hadoop, Spark, and NoSQL databases **What We Offer** * Competitive salary of $24/hour * Comprehensive benefits package, including medical, dental, and vision insurance * Generous paid time off and holidays * Opportunities for professional growth and development * Collaborative and dynamic work environment * Access to cutting-edge technology and tools * Recognition and rewards for outstanding performance **How to Apply** If you're a motivated and talented individual with a passion for data engineering, we encourage you to apply for this exciting opportunity! Please submit your resume and cover letter to [arenaflex careers page]( We can't wait to hear from you! **arenaflex is an equal opportunities employer and welcomes applications from diverse candidates.** Apply for this job
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