Lead 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 solid technical expertise in Py Spark, 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 Py Spark, 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 clients. Help identify appropriate technologies

📌 Data Engineer Uttar Pradesh
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📍 Uttar Pradesh