Job Description & Responsibilities

Design, develop, and maintain scalable data pipelines and ETL workflows using Databricks and Amazon Redshift.
Build and optimize data models to support analytics, reporting, and business intelligence needs.
Work with large datasets to ensure efficient data processing, storage, and retrieval.
Collaborate with data analysts, engineers, and business teams to understand data requirements and deliver solutions.
Monitor, troubleshoot, and optimize data workflows for performance and reliability.
Ensure data quality, integrity, and consistency across all data platforms.
Implement best practices for data engineering, including automation and pipeline orchestration.
Support data migration and integration activities across cloud and on-premise systems.
Develop and maintain documentation for data architecture, pipelines, and processes.
Stay updated with up-to-date data engineering tools and cloud technologies to improve system efficiency.

Data Engineer – Databricks Redshift (India)

Job Description & Responsibilities