Job DescriptionLead 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

N

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

nClient Management

N

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

nPre-Sales & Proposal Activities

N

n




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

nRequired Skills

N

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

nPreferred Skills

N

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

nPosition Requirement

N

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

nApply Now

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

NStay updated with our latest job opportunities and company news by following us on LinkedIn:

NSourcebae on LinkedIn

📌 Hiring: Data Engineer (Faridabad)
🏢 Sourcebae
📍 Faridabad