Fabric Data Platform Lead - Azure Synapse & Power BI

GSPANN Technologies, Inc; Fremont (CA); Hybride; USD 140 000 - 170 000; Plein temps

Résumé du poste

GSPANN Technologies, Inc. in Fremont, CA is seeking a Fabric Support Lead to drive data engineering using Microsoft Fabric, Synapse, Data Factory, and Databricks.

You will design, build, and optimize data pipelines, storage, and analytics workloads while coordinating with cross-functional teams. The role requires strong SQL, Python, and scripting skills, with experience in ETL/ELT processes, batch and streaming data, and cloud data services.

Qualifications

• Strong experience with Microsoft Fabric and related Azure data services.
• Background in data engineering, ETL/ELT, and data pipeline management.
• Familiarity with batch and stream processing and SQL.
• Proficient in Python, SQL, or PowerShell for troubleshooting and automation.
• Experience with CDC replication and Airflow orchestration is a plus.

Responsabilités

• Lead Fabric data engineering initiatives and provide architectural guidance.
• Collaborate with data stewards, analytics, and IT teams to deliver pipelines.
• Ensure reliable data storage and access via Azure Data Lake, SQL DB, and Cosmos DB.

Connaissances

Microsoft Fabric

Azure Synapse Analytics

Power BI

Azure Data Factory

Databricks

Azure Functions

Logic Apps

ETL/ELT

Data pipeline management

Azure Data Lake

Azure SQL Database

Cosmos DB

SQL

Python

PowerShell

Airflow

CDC replication

Databricks Unity Catalog

AI integration

Outils

Azure Data Lake

Azure SQL Database

Cosmos DB

Databricks

Airflow

Databricks Unity Catalog

Azure Data Factory

Description du poste

GSPANN Technologies, Inc. in Fremont, CA is seeking a Fabric Support Lead to drive data engineering using Microsoft Fabric, Synapse, Data Factory, and Databricks.

You will design, build, and optimize data pipelines, storage, and analytics workloads while coordinating with cross-functional teams. The role requires strong SQL, Python, and scripting skills, with experience in ETL/ELT processes, batch and streaming data, and cloud data services.