• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 4th Mar 2025

Data Engineering & ETL Development:

• Design, develop, and maintain ETL (Extract, Transform, Load) processes using SQL Server Integration Services (SSIS).

• Build and optimize data pipelines for efficient data extraction, transformation, and loading from various sources.

• Implement incremental and full load ETL strategies to support real-time and batch data processing.

• Ensure data integrity, data quality, and performance optimization across ETL workflows.

Database Development & Optimization:

• Develop and maintain SQL Server databases, stored procedures, functions, and triggers.

• Optimize SQL queries and indexing strategies to improve database performance.

• Implement data partitioning, indexing, and caching strategies for high-performance data processing.

Azure Data Services & Cloud Integration:

• Develop data solutions on Azure, leveraging services such as Azure Data Factory (ADF), Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.

• Integrate on-premises and cloud-based data sources using Azure Hybrid Data Solutions.

• Automate data workflows using Azure Logic Apps, Functions, and Power Automate.

• Implement data security best practices using Azure Key Vault, encryption, and role-based access control (RBAC).

Data Governance & Reporting:

• Ensure compliance with data governance, security, and privacy regulations.

• Work closely with business intelligence (BI) teams to provide data models and support analytics solutions.

• Create and maintain documentation for data pipelines, ETL workflows, and database schemas.

Collaboration & Continuous Improvement:

• Collaborate with cross-functional teams (Data Analysts, BI Developers, and Software Engineers) to support data-driven decision-making.

• Identify and implement automation strategies to improve data engineering efficiency.

• Stay up-to-date with the latest technologies and best practices in Azure, SQL Server, and ETL development.