Data Engineering Lead

Location:

Mumbai Employment Type:

Full-Time Experience:

8+ Years

About the Role We 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 strong 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 pipelines . Experience working with

Apache Airflow

or similar orchestration tools. Experience with

Kafka/MSK, SQS , or event-driven data architectures. Proven experience managing

production-grade data pipelines at scale . Strong troubleshooting, analytical, and problem-solving skills. Experience leading, mentoring, or managing a team of Data Engineers. Strong communication and stakeholder-management skills. Willingness to work from

Mumbai

and visit the client site as required. Willingness to participate in

weekend/night on-call rotations

when required. Good to Have

Experience working with large-scale

enterprise analytics platforms . Exposure to

Oil & Gas or other large enterprise domains . Experience with production support, incident management, and SLA-driven environments. AWS certifications related to

Data, Analytics, or Solutions Architecture . What We Offer

Opportunity to work on

large-scale enterprise data platforms . Exposure to modern

AWS data engineering technologies . Leadership and ownership opportunities. Learning and professional development opportunities. Collaborative and technology-driven work environment. Competitive compensation and career growth opportunities. Interested? If you are an experienced

Data Engineering Lead

with strong AWS expertise and a passion for building reliable, scalable data platforms, we would love to hear from you.

Apply now or share your profile with us.  #Hiring #DataEngineering #DataEngineer #DataEngineeringLead #AWS #AWSGlue #Redshift #Python #SQL #Kafka #Airflow #CloudJobs #MumbaiJobs #TechHiring #HiringNow