Role: Data Engineer

Location:
Remote
- Offshore India Employment: Offshore / Remote Hourly pay: 7/hr

Experience:
7+ years

Job Description
We need a hands-on Data Engineer to develop, maintain, monitor, troubleshoot, and optimize our existing Amazon Redshift data warehouse and associated data integration workflows. Core

Responsibilities:
1. Production Support: Monitor ETL jobs & Redshift workloads, resolve failures, performance bottlenecks, data discrepancies. Develop monitoring scripts, alerts, dashboards. Rotational on-call support. 2. Redshift & ETL Development: Design, develop, deploy Redshift solutions. Complex SQL tuning, Python + S3 + AWS data services, job scheduling, error handling, retry mechanisms. 3. Data Quality: Build validation checks, reconciliation, support Tableau workloads,



troubleshoot downstream reporting issues. 4. Migration Project: Support phased transition from Redshift to Databricks. Learn Databricks SQL, PySpark, Delta Lake, Workflows, Unity Catalog, Medallion Architecture (Bronze/Silver/Gold). Required

Qualifications:
* Robust hands-on Amazon Redshift, Complex SQL, Production Support & On-call experience
* Expertise in SQL tuning, debugging, deployment
* Python for ETL automation & monitoring utilities
* Amazon S3 & AWS integration workflows
* Experience supporting Tableau / BI platforms
* Willingness and ability to learn Databricks

📌 Data Engineer (India)
🏢 RibbitZ
📍 India