**Experienced Full Stack Data Engineer (L5) - Customer Service at Hirezen**
Salário Estimado
R$ 7.722,00 - R$ 11.583,00
Excelente
Score da Vaga
Descrição da Vaga
**Join Jobmatrixo's Data Science & Analytics team and revolutionize the entertainment industry with cutting-edge data engineering solutions!** **About Remotifyx** Skillastra is a leading entertainment services company, with over 283 million paid memberships in over 190 countries.
We're passionate about delivering an incredible customer experience and shaping the evolution of storytelling around the world.
Our Data Science and Engineering (DSE) team uses data to rigorously measure, optimize, and personalize our Customer Service investments to enable a delightful, efficient experience and to improve our product based on what our members tell us. **The Role** We're seeking an experienced Full Stack Data Engineer (L5) to join our Customer Service team.
As a key member of our DSE team, you'll collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and work with custom visualization tools that surface CS insights.
The team is small, so the role requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to business metrics and tools. **Key Responsibilities:** * Design, develop, and maintain large-scale data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records) * Collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines and transform raw data into core business metrics * Work with custom visualization tools that surface CS insights and provide actionable recommendations to improve customer experience * Develop and maintain advanced data models that are adaptable to changes in the source data or business processes * Design and implement data quality checks and ensure data integrity across the data stack * Collaborate with analysts, engineers, and business leaders to prioritize business problems and develop metrics to measure success * Develop and maintain documentation for data pipelines, data models, and data quality checks **Essential Qualifications:** * At least 4 years of experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records) * Strong data modeling skills, with experience designing structures that are adaptable to changes in the source data or business processes * Strong proficiency in Python or Scala and passion for writing clean, supportable code * Advanced SQL skills and advocacy for data quality * Analytical aptitude to think through business problems and prioritize autonomously * Strong communication and productive partnership with analysts, engineers, and business leaders **Preferred Qualifications:** * Experience working with cloud-based data platforms (e.g.
AWS, GCP, Azure) * Experience with data warehousing and ETL (Extract, Transform, Load) processes * Experience with data visualization tools (e.g.
Tableau, Power BI, D3.js) * Experience with machine learning and predictive analytics * Experience with agile development methodologies (e.g.
Scrum, Kanban) **Nexora Culture** Taskium's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully.
We are an equal-opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. **Compensation and Benefits** Worklith provides comprehensive benefits, including: * Annual salary: $170,000 - $720,000 * Comprehensive health plans * Mental health support * 401(k) Retirement Plan with employer match * Stock Option Program * Disability Programs * Health Savings and Flexible Spending Accounts * Family-forming benefits * Life and Serious Injury Benefits * Paid leave of absence programs * Flexible time off **Why Join Hirezen?** * Be part of a dynamic and innovative team that's shaping the future of entertainment * Collaborate with talented engineers, analysts, and business leaders to drive business outcomes * Work on cutting-edge data engineering solutions that impact millions of customers worldwide * Enjoy a comprehensive benefits package and competitive compensation * Be part of a culture that values diversity, inclusion, and innovation **How to Apply** If you're passionate about data engineering and customer experience, we want to hear from you! Apply now and join our team of talented engineers, analysts, and business leaders who are shaping the future of entertainment.
Apply Now! Apply for this job
Vagas Semelhantes
Backend AI-Forward Data Engineer
R$ 8k - 10k/mês
This a Full Remote job, the offer is available from: United States ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Head...
AI Engineer Intern
R$ 8k - 12k/mês
Juniper Square Our mission is to unlock the full potential of private markets. Privately owned assets like commercial real estate, private equity, and venture capital make up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bri...
Backend AI-Forward Data Engineer
R$ 8k - 10k/mês
This a Full Remote job, the offer is available from: United States ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Head...
AI/Machine Learning Engineer (Software Engineering Team)
R$ 13k - 15k/mês
Join Aya Healthcare, winner of multiple Top Workplace awards! We are seeking an analytical, data and business-focused professional to join our software and product team. This role is centered on analyzing product hypotheses, validating insights through data, and developing features for machine learn...
Informações
Análise de Vaga com IA
Estimativa salarial, match de tecnologias e análise de requisitos feitos com Inteligência Artificial
Powered by CodeCortex