Job DescriptionLead Data Engineer Experience: 9–11 Years Location: WFO Hybrid mode 3 days from office (Jaipur, Noida, Pune Bangalore) Job Summary We are looking for a Lead Data Engineer with strong technical expertise in PySpark, SQL, Kafka, Snowflake, and at least one major cloud platform (AWS/GCP). The role will combine hands-on data engineering leadership with client management, solutioning, pre-sales, and proposal support. The resource will work across multiple turnkey projects and will also contribute to building data engineering solutions, estimates, proposals, and client-facing technical discussions. Key Responsibilities Data Engineering & Technical Leadership • Lead the design and development of scalable enterprise-grade data engineering solutions. • Develop and optimize data pipelines using PySpark, Python, and SQL. • Design and implement real-time/streaming data solutions using Apache Kafka. • Develop data solutions using Snowflake. • Work hands-on with at least one cloud platform: AWS or GCP. • Provide technical guidance and mentoring to junior data engineers.



• Review code, architecture, technical designs, and implementation approaches. • Troubleshoot complex technical and production issues. • Ensure solutions meet performance, scalability, security, and reliability requirements. Client Management • Act as a technical point of contact for clients and stakeholders. • Understand business requirements and translate them into technical solutions. • Participate in client meetings, requirement discussions, solution workshops, and technical presentations. • Manage technical expectations and communicate project status, risks, and dependencies. Pre-Sales & Proposal Activities • Support pre-sales and proposal activities for Data Engineering opportunities. • Prepare technical solutions, architecture approaches, effort estimations, and project proposals. • Participate in RFP/RFI responses and solution presentations. • Conduct technical discussions with prospective

📌 Data Engineer (Noida)
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📍 Noida