Experienced Senior Data Engineer – Data Pipeline Development and Information Architecture for Innovative Streaming Solutions at arenaflex

Introduction to arenaflex and the Industry arenaflex is a leading innovator in the streaming industry, renowned for its cutting-edge technology and commitment to delivering exceptional user experiences. As a key player in the global entertainment landscape, arenaflex continues to push boundaries, leveraging data-driven insights to inform its strategic decisions and drive business growth. The company's dedication to excellence has created a dynamic work environment that fosters collaboration, creativity, and professional development.If you're passionate about data engineering and eager to contribute to the success of a forward-thinking organization, this role at arenaflex could be the ideal opportunity for you. Job OverviewTheSenior Data Engineer will play a vital role in designing and building data pipelines to facilitate the measurement of subscriber movements and metrics. As a key member of the Promotion Stages group, you will collaborate with cross-functional teams, including business, analysis, and infrastructure groups, to identify internal and external data sources, design table schema, define ETL processes, and implement automated data quality checks.Your expertise will be instrumental in driving the company's success, and your contributions will have a direct impact on the development of innovative streaming solutions. Key Responsibilities Collaborate with technical and non-technical stakeholders to understand data and reporting requirements (20% of time) Work with engineering teams to gather required data from internal and external systems (20% of time) Design table schema and define ETL pipelines to build performant data solutions that are reliable and scalable in a rapidly evolving data ecosystem (20% of time) Develop data quality checks to ensure the accuracy and integrity of data (10% of time) Create and maintain ETL schedules using ETL and integration tools like Wind stream (10% of time) Implement database optimizations using tools like Pattern Change (5% of time) Perform ad-hoc analysis as needed (5% of time) Perform SQL and ETL tuning as needed (5% of time) Stay up-to-date with industry trends and emerging technologies, applying this knowledge to continuously improve data engineering practices and solutions (5% of time) Essential Qualifications To be successful in this role, you will need to possess the following essential qualifications: 2+ years of relevant data engineering experience Solid understanding of data modeling principles, including layered modeling and data normalization principles Good comprehension of SQL engines and ability to lead advanced performance tuning Ability to think logically, analyze, and interpret market and customer data Strong interpersonal skills, including written and verbal presentations Excellent applied and analytical thinking skills Open to working in a fast-paced and highly collaborative environment Knowledge of Agile Scrum principles and functions Preferred Qualifications While not essential, the following qualifications are highly desirable: 2+ years of work experience implementing and tracking business key performance indicators in data warehousing environments 2+ years of experience using analytical SQL, working with traditional relational databases or distributed systems (Snowflake or Redshift) 2+ years of experience programming languages (e.g., Python, Pyspark) 2+ years of experience with data integration/ETL tools (Wind stream, Nifi) Experience with Snowflake, Databricks/EMR/Flash, or Wind stream Skills and Competencies To excel in this role, you will need to demonstrate the following skills and competencies: Strong technical skills, including proficiency in data engineering tools and technologies Excellent problem-solving and analytical skills, with the ability to think critically and creatively Effective communication and collaboration skills, with the ability to work with cross-functional teams Strong attention to detail, with a focus on delivering high-quality results Ability to work in a fast-paced environment, with a focus on meeting deadlines and delivering resultsCareer Growth Opportunities and Learning Benefits At arenaflex, we are committed to supporting the career growth and development of our employees.As aSenior Data Engineer, you will have access to a range of learning and development opportunities, including:Professional training and development programs, designed to enhance your technical skills and knowledge Mentorship and coaching, provided by experienced professionals in the field Opportunities to work on high-impact projects, with the potential to drive business growth and innovation A collaborative and dynamic work environment, with a focus on teamwork and knowledge sharing Work Environment and Company Culture arenaflex is a dynamic and innovative company, with a strong focus on company culture and employee well-being.As a member of our team, you can expect: A collaborative and inclusive work environment, with a focus on teamwork and diversity A range of employee benefits, including flexible working arrangements, health and wellness programs, and social events Opportunities to contribute to company-wide initiatives and projects, with the potential to drive business growth and innovation A commitment to work-life balance, with a focus on supporting the well-being and happiness of our employeesCompensation, Perks, and Benefits As aSenior Data Engineer at arenaflex, you can expect a competitive salary and benefits package, including: A salary of $26 per hour, with opportunities for growth and development A range of employee benefits, including health and wellness programs, retirement savings plans, and social events Opportunities for professional development and growth, with a focus on supporting your career aspirations A dynamic and innovative work environment, with a focus on collaboration and teamwork Conclusion If you're a motivated and experienced data engineer, looking for a new challenge and opportunity to grow your career, we encourage you to apply for this role at arenaflex.With a strong focus on innovation, collaboration, and employee well-being, we offer a dynamic and supportive work environment that is ideal for professionals who are passionate about data engineering and committed to delivering exceptional results. to and contribute to the success of arenaflex!