Role: Data Engineer

Location: Remote - Offshore India

Employment: Offshore / Remote

Hourly pay: 7/hr

Experience: 7+ years

:

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:

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



troubleshoot downstream reporting issues.
- 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