Staff Analytics Engineer

As a Staff Software Engineer at Warner Bros. Discovery in Bangalore, you will be leading data platform and pipeline, data strategy, and data visualization-related efforts. You will work on projects from requirements gathering to planning to implementation of full-stack data solutions. Your role will involve collaborating with cross-functional partners to ensure proper representation of business logic in the semantic layer and production environments. Here are some key responsibilities: - Partner with Product stakeholders to understand business questions and build advanced analytical solutions. - Build a deep understanding of the digital streaming service and optimize the technical ecosystem. - Practice infrastructure-as-code, data streaming pipeline, data lake management, Database, Analytics, and Dashboarding. - Provide guidance on design, coding, and operational best practices. - Propose and establish best practices where needed. - Make high impact decisions driving software development. - Design and implement data models supporting flexible querying and data visualization. - Create systematic solutions for solving data anomalies. - Identify and explore new opportunities through analytical and engineering methods. Qualifications required for this role include: - Bachelor's, Master's, or higher degree in Computer Science, Data Science, Engineering, Mathematics, Statistics. - 913 years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Platform Engineering, or related domains. - Proven track record in architecting, scaling, and operating enterprise-grade data platforms. - Deep expertise in transforming complex data sources into trusted, governed datasets. - Strong programming expertise in Python and/or Go. - Hands-on experience with modern data and streaming technologies. - Advanced proficiency in semantic modeling, business intelligence, and analytics enablement. - Strong expertise in cloud-native infrastructure and Infrastructure-as-Code. - Experience with enterprise analytics and data exploration platforms. - Strong understanding of machine learning fundamentals and AI-driven decision-support systems. - Demonstrated ability to lead technical architecture decisions and influence data strategy. In addition to technical skills, characteristics and traits we value include being naturally inquisitive, proactive, detail-oriented, positive, organized, a self-starter, a team player, and a relationship builder. At Warner Bros. Discovery, you will find a great place to work with equal opportunities for all employees. The company embraces diversity and inclusion, ensuring all qualified candidates are considered based on merit. If you require adjustments or accommodations during the job application process due to a disability, you can visit the company's accessibility page for instructions. As a Staff Software Engineer at Warner Bros. Discovery in Bangalore, you will be leading data platform and pipeline, data strategy, and data visualization-related efforts. You will work on projects from requirements gathering to planning to implementation of full-stack data solutions. Your role will involve collaborating with cross-functional partners to ensure proper representation of business logic in the semantic layer and production environments. Here are some key responsibilities: - Partner with Product stakeholders to understand business questions and build advanced analytical solutions. - Build a deep understanding of the digital streaming service and optimize the technical ecosystem. - Practice infrastructure-as-code, data streaming pipeline, data lake management, Database, Analytics, and Dashboarding. - Provide guidance on design, coding, and operational best practices. - Propose and establish best practices where needed. - Make high impact decisions driving software development. - Design and implement data models supporting flexible querying and data visualization. - Create systematic solutions for solving data anomalies. - Identify and explore new opportunities through analytical and engineering methods. Qualifications required for this role include: - Bachelor's, Master's, or higher degree in Computer Science, Data Science, Engineering, Mathematics, Statistics. - 913 years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Platform Engineering, or related domains. - Proven track record in architecting, scaling, and operating enterprise-grade data platforms. - Deep expertise in transforming complex data sources into trusted, governed datasets. - Strong programming expertise in Python and/or Go. - Hands-on experience with modern data and streaming technologies. - Advanced proficiency in semantic modeling, business intelligence, and analytics enablement. - Strong expertise in cloud-native infrastructure and Infrastructure-as-Code. - Experience with enterprise analytics and data exploration platforms. - Strong understanding of machine learning