Design solution architecture for distributed, cloud-native data platform capabilities reasoning about scalability, reliability, data flow and system boundaries across services.
Design and build infrastructure-as-code based on reusable, composable constructs.
Build and maintain CI/CD pipelines and deployment automation that customer teams use to provision and operate their environments.
Develop reusable Python libraries and shared components consumed across the platform.
Build reference data pipelines that showcase platform capabilities and codify best practices for our customers.
Design and improve observability across distributed data pipelines and services metrics, logging, tracing and data lineage.
Establish and evolve engineering standards build, test, branching, release and deployment best practices.
Troubleshoot, monitor and continuously improve the reliability of the capabilities we ship.
Python used to build cloud infrastructure-as-code and reusable platform libraries.
Solution architecture for distributed systems service boundaries, data flow,



scalability and resilience patterns.
Infrastructure as Code such as AWS CDK constructs and reusable patterns.
CI/CD with Jenkins, Git and Bash scripting.
Testing discipline unit and integration testing as a first-class practice.
Build, release and deployment best practices, including branching strategies such as GitFlow.
AI-powered development tools such as GitHub Copilot and Claude Code as part of a up-to-date engineering workflow.
AWS for data-focused workloads including EMR, MWAA/Airflow, S3, Lambda, SQS, IAM and CloudWatch.
Databricks including workspace configuration, jobs, notebooks and Unity Catalog.
Nice to have: Snowflake and Microsoft Azure.
Positive understanding of up-to-date data engineering stacks, primarily AWS and Databricks.
Understanding of data modelling and batch/streaming processing paradigms.
Familiarity with Lakehouse technologies such as Apache Iceberg.
Pipeline

📌 Looking For Senior Platform Engineer Hyderabad (India)
🏢 Tech Mahindra
📍 India