**Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex**

**Job Summary:** Join arenaflex, a leading innovator in the entertainment and media industry, as a Lead Data Engineer to drive the development and implementation of cutting-edge data solutions. As a key member of our Information and Investigation group for arenaflex Web-based features (DSS), you will play a crucial role in shaping our data strategy, designing and building data warehouses, and ensuring high-quality data management. If you're passionate about big data, cloud computing, and data engineering, this is an exciting opportunity to join a dynamic team and contribute to the growth of arenaflex. **About arenaflex:** arenaflex is a global leader in the entertainment and media industry, known for its innovative approach to storytelling and customer experience. Our commitment to excellence and innovation has made us a household name, and we're constantly pushing the boundaries of what's possible. As a Lead Data Engineer at arenaflex, you'll be part of a team that's passionate about using data to drive business decisions and improve customer experiences. **Job Description:** As a Lead Data Engineer at arenaflex, you'll be responsible for: * **Designing and building data warehouses**: Develop scalable and efficient data warehousing solutions using Hadoop, AWS, Snowflake, and other cloud-based technologies. * **Building ETL pipelines**: Design and implement ETL pipelines in large data environments (cloud, on-prem, hybrid) to extract, transform, and load data into data warehouses. * **Collaborating with cross-functional teams**: Work closely with Data Product Managers, Data Modelers, and Data Architects to design, implement, and deliver successful data solutions. * **Maintaining high-quality documentation**: Ensure detailed documentation of your work and changes to support data quality and data governance. * **Ensuring high operational efficiency**: Meet Service Level Agreements (SLAs) and support our clients' (Data Science, Data Analysis groups) obligations. * **Participating in agile/scrum practices**: Be a proactive member and supporter of agile/scrum practices to ensure team well-being and cycle improvements. **Key Capabilities:** * **Solid SQL skills**: Ability to write complex SQL queries to extract insights from data and build performant datasets. * **Experience with distributed systems**: Familiarity with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process large datasets. * **Programming skills**: Proficiency in Python, Java/Scala, and experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query). * **Data integration toolsets**: Experience with data integration toolsets like Wind current and writing and maintaining data pipelines. * **Data modeling and warehousing**: Strong understanding of data modeling strategies and data warehousing best practices. * **Agile and scrum practices**: Familiarity with agile and scrum methodologies and principles. * **Cloud computing**: Experience with cloud technologies like AWS (S3, EMR, EC2) is a plus. **Ideal Candidate:** * **Problem-solver**: Strong analytical and problem-solving skills with a passion for data engineering. * **Team player**: Collaborative mindset with excellent communication and interpersonal skills. * **Innovative thinker**: Ability to think creatively and develop innovative solutions to complex data problems. * **Continuous learner**: Commitment to ongoing learning and professional development in data engineering and related technologies. **What We Offer:** * **Competitive salary**: $24/hour * **Opportunities for growth**: Career growth and learning opportunities in a dynamic and innovative environment. * **Collaborative team**: Collaborative and supportive team environment with a focus on teamwork and open communication. * **Flexible work arrangements**: Flexible work arrangements to support work-life balance and productivity. * **Professional development**: Opportunities for professional development and training in data engineering and related technologies. **How to Apply:** If you're a motivated and experienced data engineer looking for a new challenge, please submit your application through our website. We can't wait to hear from you! Apply Now! Apply for this job