LEAD DATA ENGINEER - DATA

Job Description

Data Engineering & Pipeline Development Design implement and maintain ETL processes using ADF and ADB. Create and manage views in ADB and SQL for efficient data access. Optimize SQL queries for large datasets and high performance. Conduct end-to-end testing and impact analysis on data pipelines. Optimization & Performance Tuning Identify and resolve bottlenecks in data processing. Optimize SQL queries and Delta Tables for fast data processing. Data Sharing & Integration Implement Delta Share, SQL Endpoints, and other data sharing methods. Use Delta Tables for efficient data sharing and processing. API Integration & Development Integrate external systems through Databricks Notebooks and build scalable solutions. Experience in building APIs Good to have. Collaboration & Documentation Collaborate with teams to understand requirements and design solutions. Provide documentation for data processes and architectures.