Presales- DataEngineer

You are a highly skilled Data Engineer - Presales Specialist sought by an AI-based service-oriented company. Your role will require a perfect blend of technical expertise, functional knowledge, and presales acumen. The ideal candidate should have a strong background in data engineering and analytics, along with the ability to engage with clients, understand industry trends, and craft solutions that meet market needs. **Roles & Responsibilities:** - Collaborate with sales & business teams to identify client needs and deliver tailored technical solutions. - Conduct demonstrations and proof of concepts to showcase services and solutions. - Prepare high-quality technical proposals & solutions to support the presales process. - Work closely with clients to understand their business requirements and objectives. - Provide consulting services to clients on data strategies, analytics frameworks, and AI-based solutions. - Build and nurture strong relationships with stakeholders to ensure customer satisfaction and long-term engagement. - Design, develop, and optimize data pipelines and workflows to enable advanced analytics and AI solutions. - Ensure seamless integration of data engineering solutions across cloud platforms & cloud development services like AWS, Azure, or GCP. - Stay updated on the latest trends in AI, cloud computing, and data engineering to deliver cutting-edge solutions. - Analyze industry trends to identify opportunities for AI-based and cloud-based services. - Work with product teams to shape the company's offerings based on client feedback and market demands. - Drive thought leadership by participating in workshops, webinars, and industry forums. - Collaborate with internal teams to ensure alignment between sales, technical, and delivery objectives. **Key Skills Required:** - Minimum of 3 to 5 years of experience in the data engineering field, with proven expertise in presales or client-facing roles. - Strong programming skills in Python and SQL, with experience in platforms like Snowflake or Databricks. - Hands-on expertise with cloud platforms like AWS, Azure, or GCP. - Knowledge of AI/ML frameworks and their application to business solutions. - Strong understanding of data engineering concepts, data warehousing, and analytics. - Exceptional communication and presentation skills with a consultative approach to sales and solutioning. - Proven ability to manage client interactions and stakeholder relationships effectively. - Experience working in AI-based service organizations or cloud-based solution companies preferred. - Certification in cloud platforms or data engineering technologies is a plus.,