CLOUD DATA ANALYTICS EXPERT | KQ659

Bebeedata


Cloud Data Analytics Expert We are seeking an experienced Cloud Data Analytics Expert to join our team. The ideal candidate will have a strong background in cloud native architecture, data analytics, and software development. They will work closely with our customers to understand their business needs and develop creative solutions to drive business value. Key Responsibilities: - Partner with customers to identify business opportunities and develop strategies to resolve technical blockers. - Share expertise in data analytics to support the technical relationship with customers, including technology advocacy, bid responses, product briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption. - Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements. - Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. - Prepare and deliver business messaging to highlight the Google Cloud value proposition using techniques such as whiteboard presentations, product demonstrations, white papers, and RFI responses. About the Role: This is an exciting opportunity for a motivated and experienced professional to join our team and contribute to the success of our customers. The role requires a strong understanding of cloud native architecture, data analytics, and software development, as well as excellent communication and interpersonal skills. What We Offer: - A dynamic and supportive work environment. - Ongoing training and development opportunities. - A competitive salary and benefits package. Requirements: - Bachelor's degree or equivalent practical experience. - 6 years of experience with cloud native architecture in a customer-facing or support role. - Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming. - Experience in technical sales or consulting in cloud computing, data analytics, or Big Data. - Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures. - Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems. - Experience with aspects of cloud computing (e.g., infrastructure, storage, platforms, and data) as well as the cloud market, engaged dynamics, and customer buying behavior. - Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.

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