Location: Mumbai
Employment Type: Full-Time
Experience: 8+ Years

About the RoleWe are looking for an experienced Data Engineering Lead to join our team and lead the data engineering function for a large-scale enterprise analytics platform.
The ideal candidate will have robust expertise in AWS data services, ETL pipelines, data engineering, and production support , along with proven experience leading data engineering teams and managing data platforms at scale.
Key Responsibilities
- Lead and mentor a team of Data Engineers responsible for developing, maintaining, and enhancing enterprise data platforms.
- Design, develop, maintain, and optimize ETL/ELT pipelines and data workflows.
- Own pipeline performance, monitoring, troubleshooting, and optimization.
- Ensure reliability, scalability, and performance of data engineering solutions.
- Manage and resolve production issues within defined SLA timelines .
- Participate in 24x7 production support and P1 incident rotation , including weekend/night on-call support.




- Drive continuous improvements and enhancements across data pipelines and platform components.
- Collaborate with business, technical, and client-facing stakeholders to understand requirements and deliver effective data solutions.
- Create and maintain technical documentation, runbooks, and operational procedures .
- Monitor data quality, pipeline health, and system performance.
- Ensure adherence to engineering best practices, security standards, and operational processes.

Key Technologies
- AWS Glue
- AWS Lambda
- Amazon Redshift
- Amazon Aurora PostgreSQL
- Amazon MSK / Kafka
- AWS SQS
- AWS Transfer Family
- Apache Airflow
- SQL
- Python

Requirements
- 8+ years of experience in Data Engineering with demonstrated leadership experience.
- Strong hands-on expertise with AWS data and analytics services , particularly Glue, Redshift, and Aurora PostgreSQL.
- Strong proficiency in SQL and Python .
- Extensive experience building and managing ETL/ELT pipelin

📌 Data Engineering Lead (India)
🏢 Nlineaxis IT Solutions
📍 India