JD for Lead Data Engineer (AWS) for Mumbai - local candidates preferred

Positions Open: 4

Employment Type: Full-time, Permanent on clients payroll

Locations: Mumbai (Lower Parel or Airoli) candidates can be considered for either

Work Mode: Work From Office, 5 days a week

Notice Period: Immediate joiners strongly preferred; maximum 1 month notice accepted

Hiring Timeline: Fast-track closure please apply only if you can commit to a quick interview process

This opportunity is being hired for one of NurimTech’s strategic partners, engaged through our talent partnership channel.

About the Role

We are seeking a highly skilled, delivery-focused Lead Data Engineer to design and build enterprise-grade data platforms and applications on new implementation engagements. This is a hands-on leadership role, responsible for leading end-to-end build and development initiatives, architecting scalable data pipelines, and delivering cloud-native solutions on AWS. You will act as a key technical leader on new client engagements — often the first person onboarded to a new team — working closely with client stakeholders to translate business requirements into robust data engineering solutions.

Key Responsibilities

Solution Design & Implementation

- Lead end-to-end design and development of scalable, high-performance data engineering solutions.
- Architect and implement new data pipelines, data models, and cloud-native data platforms.
- Design modular, reusable, future-ready data frameworks for enterprise use cases.
- Translate client requirements into technical designs in direct collaboration with stakeholders.

Technical Leadership

- Provide architectural direction for new data platform development and modernization initiatives.




- Define best practices for ETL/ELT design, data modeling, and cloud-native data processing.
- Build and optimize data pipelines using AWS services (Glue, Lambda, Redshift, S3, EMR, Athena, etc.).
- Leverage PySpark, SQL, Python, and distributed processing frameworks for large-scale data processing.
- Drive engineering excellence through code quality, performance tuning, and scalable design patterns.

Agile Delivery & Execution

- Lead sprint planning, estimation, and delivery of development milestones in Agile environments.
- Ensure timely delivery of high-quality data engineering components.
- Collaborate with cross-functional product, analytics, and infrastructure teams.

Client Engagement & Solutioning

- Act as technical advisor for clients during solution design and implementation.
- Present architecture approaches, design decisions, and trade-offs to stakeholders.
- Proactively recommend solutions to improve scalability, performance, and business value.

Team Leadership & Mentoring

- Lead and mentor a team of data engineers; often the first hire on a new engagement, responsible for helping build out the team.
- Drive task allocation, design reviews, and technical guidance.
- Build an engineering culture focused on ownership and continuous improvement.

Process, Quality & Governance

- Establish CI/CD pipelines, version control practices, and automated testing frameworks.




- Ensure adherence to coding standards, documentation, and design governance.
- Identify risks and dependencies early; implement mitigation strategies.

Required Skills & Qualifications

- 6+ years of hands-on, core Data Engineering experience on AWS — this must be genuine, hands-on pipeline/platform work, not adjacent roles.
- Strong hands-on expertise in AWS cloud services: Glue, Lambda, Redshift, S3, Athena, EMR, CloudWatch.
- Solid proficiency in PySpark, SQL, and Python for large-scale data processing.
- Proven experience designing and building end-to-end data pipelines and data platforms.
- Deep understanding of distributed data processing and performance optimization.
- Proven experience leading engineering teams (3+ years), ideally on development/implementation projects.
- Strong client-facing and communication skills.
- Experience with Agile delivery methodologies.
- Familiarity with JIRA, Confluence, Git, Jenkins, or equivalent CI/CD tooling.

Good to Have

- Experience in greenfield data platform development or AWS migration projects.
- Exposure to legacy-to-cloud transformation programs.
- Strong understanding of data modeling concepts and Hive/partitioning strategies.
- Experience building real-time or near-real-time data pipelines.

Eligibility Note

Candidates who don’t currently hold a “Lead” title but have 6+ years of core Data Engineering experience, and have mentored/managed junior engineers or are currently performing equivalent responsibilities, are welcome to apply.

Please review this JD carefully before applying - only apply if your experience genuinely aligns with the core requirements above, so we can move quickly to interviews.

📌 Lead Data Engineer (AWS) | Mumbai | Immediate Joiners Preferred
🏢 Nurim Technologies
📍 Mumbai