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 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 clients.
• Help

📌 Data Engineer (Noida)
🏢 Sourcebae
📍 Noida