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Tier-1 employer, metro Hyderabad location, and visible mid-senior data role increase competition.
Highly domain-specific data platform skills and AWS services increase background sensitivity.
Explicit 8+ years, Lead/Principal requirement and mandatory AWS, Terraform, Python and CI/CD skills.
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Lead hands-on technical efforts to design, build, and optimize a scalable AWS-native data platform using a data mesh architecture and data lake solutions.
Drive engineering best practices including Infrastructure-as-Code with Terraform, CI/CD pipelines, automated testing, monitoring, and data quality frameworks.
Mentor and guide engineers while collaborating with cross-functional teams to deliver reliable, high-performance data workflows and pipelines.
8+ years of relevant data platform engineering experience.
Proven experience at Lead or Principal Engineer level in a large or enterprise environment.
Strong hands-on experience with AWS data services like Glue, Step Functions, Lake Formation, EventBridge, Lambda, Datazone, and Cloudwatch.
Expertise in DevOps including Terraform, CI/CD pipelines, Git, Jenkins and advanced programming in Python.
Experienced technical leader capable of setting direction and standards for data engineering teams.
Deep expertise in building AWS-native data platforms with a focus on data mesh and data lake architectures.
Proven ability to implement and advocate for automated testing, monitoring, and DevOps best practices in complex enterprise environments.