Description

Requirements

7 or more years of experience in database development and complex ETL data pipeline engineering.

Proficiency in advanced T-SQL programming and developing highly efficient stored procedures.

Experience with Azure Data Factory and SQL Server Integration Services for enterprise data loading.

Experience in extracting data from modern cloud platforms including Snowflake and Microsoft Azure.

Experience with mapping disparate source systems and constructing staged datasets for artificial intelligence teams.

Experience in developing, troubleshooting, and optimizing SQL Server Reporting Services solutions.

Excellent verbal and written communication skills to collaborate effectively with business units.

Responsibilities

Architect and implement highly scalable ETL data pipelines to populate enterprise repositories.

Write and optimize complex T-SQL stored procedures and database packages to ensure efficient data processing.

Extract critical data payloads from Azure and Snowflake cloud environments into on-premises staging servers.

Construct curated datasets from staged environments and upload them to cloud infrastructures to support AI initiatives.

Execute comprehensive data mapping and translate overarching business requirements into robust technical solutions.

Build, maintain, and apply targeted technical fixes to existing SSRS enterprise business reports.

Diagnose production anomalies and provide continuous operational support to resolve complex database issues

Key Skills

Education

Any Gradute