Noida, Uttar Pradesh, India
Information Technology
Full-Time
TekIT Software Solutions Pvt. Ltd. (India & USA)
Overview
🔍 Job Description
We are looking for an experienced and highly skilled Technical Lead to guide the development and enhancement of a large-scale Data Observability solution built on AWS. This platform is pivotal in delivering monitoring, reporting, and actionable insights across the client's data landscape.
The Technical Lead will drive end-to-end feature delivery, mentor junior engineers, and uphold engineering best practices. The position reports to the Programme Technical Lead / Architect and involves close collaboration to align on platform vision, technical priorities, and success KPIs.
🎯 Key Responsibilities
We are looking for an experienced and highly skilled Technical Lead to guide the development and enhancement of a large-scale Data Observability solution built on AWS. This platform is pivotal in delivering monitoring, reporting, and actionable insights across the client's data landscape.
The Technical Lead will drive end-to-end feature delivery, mentor junior engineers, and uphold engineering best practices. The position reports to the Programme Technical Lead / Architect and involves close collaboration to align on platform vision, technical priorities, and success KPIs.
🎯 Key Responsibilities
- Lead the design, development, and delivery of features for the data observability solution.
- Mentor and guide junior engineers, promoting technical growth and engineering excellence.
- Collaborate with the architect to align on platform roadmap, vision, and success metrics.
- Ensure high quality, scalability, and performance in data engineering solutions.
- Contribute to code reviews, architecture discussions, and operational readiness.
- 5+ years in Data Engineering or Software Engineering roles.
- 3+ years in a technical team or squad leadership capacity.
- Deep expertise in AWS Data Services: Glue, EMR, Kinesis, Lambda, Athena, S3.
- Advanced programming experience with PySpark, Python, and SQL.
- Proven experience in building scalable, production-grade data pipelines on cloud platforms.
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