Posted:16 hours ago|
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Work from Office
Full Time
Role Proficiency:
Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 - Software Engineering
Outcomes:
Measures of Outcomes:
Outputs Expected:
Code:
Configure:
Test:
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Document:
Manage knowledge:
Status Reporting:
Release:
Design:
Mentoring:
Skill Examples:
Knowledge Examples:
Location: Any India location Skills and experience: Proven hands-on experience in platform/data infrastructure engineering Strong understanding of distributed systems and modern data stack components Hands-on with Kafka, Spark, Flink, dbt, SQLMesh, Iceberg/Hudi/Delta Experience building on AWS (Glue, S3, Athena, EMR, Step Functions); Azure exposure is a plus Proficient with Terraform, GitHub Actions, and container platforms (Kubernetes preferred) Ability to work independently in fast-paced, platform-led environments Job Description: Build platform services for ingestion, transformation, metadata processing, and lineage tracking Engineer cloud-native infrastructure across AWS and Azure environments Develop and manage reusable modules for streaming (Kafka, Flink) and batch (Spark, dbt, SQLMesh) pipelines Support open table formats like Apache Iceberg, Delta Lake, or Hudi Integrate observability and quality tooling (e.g., Prometheus, OpenLineage, Great Expectations) Implement CI/CD workflows using GitHub Actions, Terraform, and GitOps practices Contribute to shared platform assets that enable self-service by domain teams
Platform,Data infrastructure engineering,Kafka,Aws
                UST
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