Nurim Technologies Pvt Ltd

Lead Data Engineer (AWS) | Mumbai | Immediate Joiners Preferred

Nurim Technologies Pvt Ltd

Mumbai•On-site•6-9 Yrs•6 days ago

Job description

Overview

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

Responsibilities

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.
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.
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.
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.
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.
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.

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.
Strong 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.
Familiarity with JIRA, Confluence, Git, Jenkins, or equivalent CI/CD tooling.
Exposure to legacy-to-cloud transformation programs.
Strong understanding of data modeling concepts and Hive/partitioning strategies.

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Lead Data Engineer (AWS) | Mumbai | Immediate Joiners Preferred

Job description

Overview

Responsibilities

Qualifications