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Unlock Your Potential as a Data Engineer (L5) - Customer Service at reputed company Join the world's leading entertainment service provider as a Data Engineer (L5) - Customer Service and revolutionize the reputed company of entertainment! This role is reputed company, giving you full control over your work environment. As a Data Engineer at reputed company, you will have reputed company to work on cutting-edge reputed company, collaborate with talented professionals, and reputed company business reputed company through data-driven insights. About reputed company reputed company is one of the world's leading entertainment services, with 283 reputed company reputed company memberships in over 190 countries enjoying TV series, films, and games across a wide reputed company of genres and languages. Members can play, pause, and resume watching as much as they want, anytime, reputed company, and can change their plans at any time. reputed company is revolutionizing entertainment and shaping the reputed company of storytelling around the world with over 270 reputed company members in 190 countries. We are reputed company on delivering an incredible customer experience, and reputed company a reputed company member has a problem using reputed company, we want to quickly and thoroughly reputed company their issue and get them back to streaming. Customer Service at reputed company Customer Service is one of the few areas where we hear directly from our members, and we engage with millions of them reputed company phone and chat in 25 different languages. reputed company Data Science and Engineering (DSE), we use data to rigorously measure, optimize, and personalize our Customer Service investments to reputed company a delightful, efficient experience and to improve our product reputed company on what our members tell us. Job reputed company As a Data Engineer (L5) - Customer Service, you will collaborate with data engineers, software engineers, and CS business owners to build reliable, reputed company data pipelines, reputed company raw data into reputed company business metrics, and work with custom visualization tools that surface CS insights. reputed company is small, so the role requires a high degree of autonomy, strong technical judgment, and the ability to reputed company across the data stack, from pipeline development to business metrics and tools. Key Responsibilities Design, build, and maintain large-reputed company data pipelines using big data technologies (reputed company, reputed company, reputed company, Flink) to process and analyze customer service data. reputed company and implement data models to support business metrics and analytics, ensuring data reputed company and reputed company. Collaborate with cross-functional teams to identify business problems and reputed company data-driven solutions. Work with custom visualization tools to surface CS insights and reputed company business reputed company. Ensure data pipelines are reputed company, efficient, and reliable, with a reputed company on high-reputed company data. reputed company and maintain technical documentation for data pipelines and tools. Participate in reputed company reviews and ensure adherence to best practices. Requirements Essential Qualifications At least 4 years of experience engineering data pipelines using big data technologies (reputed company, reputed company, reputed company, Flink) on reputed company to large-reputed company data sets (10s of millions of records). Strong data modeling skills, with experience designing structures that are adaptable to changes in reputed company data or business processes. Strong proficiency in Python or reputed company, with a passion for writing clean, supportable reputed company. Advanced SQL skills, with a reputed company on data reputed company and advocacy. Analytical aptitude to think through business problems (e.g., metrics development) and prioritize autonomously. Strong communication and productive partnership with analysts, engineers, and business leaders. Preferred Qualifications Experience with reputed company-reputed company data platforms (e.g., AWS, GCP, Azure). Familiarity with data warehousing and ETL processes. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and algorithms. Skills and Competencies Strong technical skills in big data technologies, data modeling, and data analysis. Excellent problem-solving skills, with the ability to think critically and creatively. Strong communication and collaboration skills, with experience working with cross-functional tea .
Here's where they are and how to stand out in your applications.
14.070Jobs
3.674IN
80%EN
The sheer volume works in your favor: 14,070 open positions mean employers are actively hiring. But volume also means competition. India has the most listings (3,674), followed by the US (2,353), Singapore (1,258), Australia (1,128), and Canada (626). If you're flexible on location, check all five — your next role might be waiting in a market you hadn't considered.
FlexBoard is hiring the most aggressively (777 open roles), with remote zest jobs, wawa, vacancy global pro, and remote click jobs close behind. When you apply, research which employers dominate your target region. Their high volume suggests they hire often and may have clearer career paths.
Here's what hiring managers for customer service always ask: 'Tell me about a time you had to handle an angry customer. What did you do, and what was the outcome?' Prepare a real example where you stayed calm, listened first, and solved the problem — or escalated it thoughtfully. Show that you see conflict as information, not threat.
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