Job Description

We are looking for a hybrid Data & DevOps Engineer to manage our end-to-end data lifecycle. You will not only maintain the cloud infrastructure but also build and optimize the ingestion engines that feed our Databricks Lakehouse. A key part of this role involves interacting with REST APIs, managing serverless ingestion (AWS Lambda), and ensuring data quality from the moment it hits S3.

Key responsibilities

1. IaC & Security Hardening: Expand our AWS infrastructure using Terraform or CloudFormation. You will implement rigorous security measures, including VPC peering/PrivateLink for Databricks, KMS encryption at rest, and IAM least-privilege policies.

2. API Ingestion & Engineering: Build and maintain Python-based ingestion services. You will manage API authentication, handle rate limiting, and ensure efficient data partitioning in S3.

3. CI/CD Evolution: Scale our GitHub Actions workflows to handle multi environment deployments (Dev/Sandbox/Prod) for ...

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