AWS Data Lead

The Glove; Hyderabad, Bengaluru, Delhi; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

The Glove is seeking an AWS Data Lead to steer data engineering initiatives across enterprise platforms, with hands-on leadership and architectural ownership. You will own scalability, reliability, security and cost optimization of AWS data platforms, define engineering standards, review designs, and mentor teams.

The role requires 10–13 years of experience with AWS, Python and PySpark, and a proven track record delivering scalable data pipelines.

Qualifications

• 10–13 years of experience in AWS data engineering.
• Strong expertise in AWS data platforms, Python and PySpark.
• Experience leading data engineering teams.

Responsibilities

• Serve as the technical lead and design authority for AWS data engineering initiatives across enterprise platforms.
• Own architectural decisions related to scalability, reliability, security, and cost optimization of AWS data platforms.
• Define and enforce engineering standards, coding patterns, and operational best practices for cloud data pipelines.
• Provide hands on technical guidance, design reviews, and code reviews for data engineers.
• Mentor engineering teams and collaborate effectively with infrastructure, IAM, and database teams.

Skills

AWS

Python

PySpark

Job description

Hi, we are currently hiring for the role of AWS Data Lead.

Here is a quick snapshot of the opportunity:

• - Experience: 10-13 years
• - Skills: aws, python, pyspark
• - Location: Bangalore, India, Delhi, India

Key Responsibilities:

• - Serve as the technical lead and design authority for AWS data engineering initiatives across multiple enterprise platforms.
• - Own architectural decisions related to scalability, reliability, security, and cost optimization of AWS data platforms.
• - Define and enforce engineering standards, coding patterns, and operational best practices for cloud data pipelines.
• - Provide hands on technical guidance, design reviews, and code reviews for data engineers.
• - Mentor engineering teams and collaborate effectively with infrastructure, IAM, and database teams.