Lead Data Engineer

nExperience: 9–11 Years

nLocation: WFO Hybrid Model 3 days from office

n(Jaipur, Noida, Pune Bangalore)

nJob Summary

nWe are looking for a Lead Data Engineer with strong technical expertise in PySpark, SQL, Kafka, Snowflake, and at least one major cloud

nplatform (AWS/GCP). The role will combine hands-on data engineering leadership with client management, solutioning, pre-sales, and

nproposal support.

nThe resource will work across multiple turnkey projects and will also contribute to building data engineering solutions, estimates,

nproposals, and client-facing technical discussions.

nKey Responsibilities

nData Engineering & Technical Leadership

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- Lead the design and development of scalable enterprise-grade data engineering solutions.
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- Develop and optimize data pipelines using PySpark, Python, and SQL.
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- Design and implement real-time/streaming data solutions using Apache Kafka.
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- Develop data solutions using Snowflake.
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- Work hands-on with at least one cloud platform: AWS or GCP.
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- Provide technical guidance and mentoring to junior data engineers.
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- Review code, architecture, technical designs, and implementation approaches.
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- Troubleshoot complex technical and production issues.
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- Ensure solutions meet performance, scalability, security, and reliability requirements.
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nClient Management

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- Act as a technical point of contact for clients and stakeholders.
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- Understand business requirements and translate them into technical solutions.
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- Participate in client meetings, requirement discussions, solution workshops, and technical presentations.
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- Manage technical expectations and communicate project status, risks, and dependencies.
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nPre-Sales & Proposal Activities

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- Support pre-sales and proposal activities for Data Engineering opportunities.
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- Prepare technical solutions, architecture approaches, effort estimations, and project proposals.
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- Participate in RFP/RFI responses and solution presentations.
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- Conduct technical discussions with prospective clients.
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- Help identify appropriate technologies and approaches based on client requirements.
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- Contribute to reusable solution frameworks, accelerators, and technical documentation.
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nRequired Skills

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- 9–11 years of experience in Data Engineering.
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- Strong hands-on experience with PySpark.
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- Strong proficiency in SQL.
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- Solid experience with Apache Kafka.
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- Hands-on experience with Snowflake.
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- Strong experience with at least one cloud platform – AWS or GCP.
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- Strong understanding of data engineering architecture and modern data platforms.
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- Experience leading technical teams/projects.
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- Strong client-facing and stakeholder management skills.
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- Experience in pre-sales, solutioning, estimation, and proposal development.
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nPreferred Skills

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- Experience working on turnkey/managed delivery projects.
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- Experience mentoring junior engineers.
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- Strong presentation and communication skills.
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- Experience with multiple cloud/data technologies.
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- Knowledge of data warehousing, streaming, ETL/ELT, and modern data architecture.
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nPosition Requirement

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- New position to support multiple Client turnkey projects, including a delivery setup involving 1 Junior Engineer.
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- The resource will also support Data Engineering proposal and pre-sales activities.
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nApply Now

nInterested candidates can share their updated CV at [email protected] or WhatsApp it to (phone hidden).

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📌 Data Engineer (Noida)
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