Jobs via Dice
Title: Azure Data Engineer
Location:
Hamilton, NY (Onsite)
Duration:
6+ Months
Relevant Experience (in Yrs.):
8+ yrs.
Role Description Cloud Platform Expertise
Deep understanding of Microsoft Azure services like:
Azure Data Factory (ADF) – ETL/ELT pipelines
Azure Synapse Analytics – Data warehousing
Azure Databricks – Big data & machine learning
Azure Data Lake Storage (ADLS) – Data storage
Azure SQL Database – Relational data
Azure Event Hub / IoT Hub – Streaming data ingestion
Data Modeling & Architecture
Designing data models for structured/unstructured data
Implementing star/snowflake schemas for analytics
ETL/ELT Development
Building data pipelines for ingestion, transformation, and loading
Orchestrating workflows using ADF or Databricks
Programming & Scripting
SQL (T‑SQL for Azure SQL)
Python or Scala for Databricks
PowerShell for automation
Big Data & Analytics
Working with Spark on Databricks
Handling large‑scale data processing
Data Governance & Security
Implementing RBAC, data encryption, and compliance
Managing Azure Key Vault for secrets
Monitoring & Optimization
Using Azure Monitor, Log Analytics
Performance tuning for pipelines and queries
Must Have Skills
Azure Data Engineer
ADF, ETL, Data Warehouse, Data Modelling
Azure Databricks, ADLS, SQL, IoT Hub
#J-18808-Ljbffr
Location:
Hamilton, NY (Onsite)
Duration:
6+ Months
Relevant Experience (in Yrs.):
8+ yrs.
Role Description Cloud Platform Expertise
Deep understanding of Microsoft Azure services like:
Azure Data Factory (ADF) – ETL/ELT pipelines
Azure Synapse Analytics – Data warehousing
Azure Databricks – Big data & machine learning
Azure Data Lake Storage (ADLS) – Data storage
Azure SQL Database – Relational data
Azure Event Hub / IoT Hub – Streaming data ingestion
Data Modeling & Architecture
Designing data models for structured/unstructured data
Implementing star/snowflake schemas for analytics
ETL/ELT Development
Building data pipelines for ingestion, transformation, and loading
Orchestrating workflows using ADF or Databricks
Programming & Scripting
SQL (T‑SQL for Azure SQL)
Python or Scala for Databricks
PowerShell for automation
Big Data & Analytics
Working with Spark on Databricks
Handling large‑scale data processing
Data Governance & Security
Implementing RBAC, data encryption, and compliance
Managing Azure Key Vault for secrets
Monitoring & Optimization
Using Azure Monitor, Log Analytics
Performance tuning for pipelines and queries
Must Have Skills
Azure Data Engineer
ADF, ETL, Data Warehouse, Data Modelling
Azure Databricks, ADLS, SQL, IoT Hub
#J-18808-Ljbffr