Role Overview
We are seeking an experienced Data Engineer to design, develop, and maintain enterprise-scale Data Warehouse solutions. The ideal candidate will be responsible for building robust data pipelines, optimizing data models, managing large-scale data platforms, and ensuring high-quality, trusted data assets that support analytics, AI, and business decision-making.
The candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data warehouses, and data lakes. The role will involve working with cloud-based data platforms and collaborating with technical and business teams to deliver reliable, high-quality data solutions. Experience in AI-enabled data solutions is highly desirable.

Key Responsibilities
Data Warehouse Development
- Design, develop, and maintain enterprise Data Warehouse solutions.
- Build and manage dimensional data models including Fact and Dimension tables.
- Implement Star Schema designs.
- Define and maintain enterprise data architecture standards.
Data Engineering & ETL




- Design and build ETL/ELT pipelines for structured and unstructured data sources.
- Develop scalable data ingestion, transformation, and integration frameworks.
- Ensure data quality, integrity, reconciliation, and validation.
- Implement automated data processing and orchestration workflows.
Azure Data Engineer | Artech LLC
- Support batch and near real-time data processing requirements.
SQL & Data Optimization
- Develop and optimize complex SQL queries, stored procedures, functions, and views.
- Perform database tuning, query optimization, and performance monitoring.
- Ensure productive storage utilization and processing performance across data platforms.
Cloud Data Platform Engineering
- Develop and support cloud-based data ecosystems.
- Build and maintain solutions using:
o Azure Data Factory (ADF)
o Azure Synapse Analytics
o Azure Data Lake Storage Gen2
o Databricks
- Support migration and modernization of legacy data platforms.

📌 Hiring: Azure Data Engineer (India)
🏢 Artech
📍 India