Senior Azure Data Engineer - Remote (Evening)

Augmented Ally It Solutions; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

Augmented Ally IT Solutions is seeking a Senior Azure Data Engineer for a remote role with an evening shift. You will design and optimize scalable data platforms using Azure Synapse, ADF, Databricks, and ADLS while collaborating with stakeholders in an Agile environment.

The ideal candidate has 5+ years of data engineering experience, strong Python, PySpark, and SQL skills, and a proven track record building data warehouses and lakehouses.

Qualifications

• 5+ years of data engineering and ETL/ELT experience.
• Proven Azure data ecosystem expertise.
• Experience with Azure Synapse, ADF, and Databricks.
• Strong Python, PySpark, and SQL skills.

Responsibilities

• Design and implement end-to-end data pipelines on Azure Synapse, ADF, and Databricks.
• Build scalable pipelines for batch and near real-time processing on Azure.
• Develop data transformations using PySpark, Spark SQL, and Python.
• Architect Azure-based data warehouses and lakehouses with ADLS.
• Ensure data quality, security, and performance across pipelines.
• Collaborate with stakeholders to translate business needs into data solutions.
• Apply best practices for cost-effective, enterprise-grade data platforms.
• Provide operational support and participate in Agile ceremonies.

Skills

PySpark

Spark SQL

Python

SQL

Azure Synapse Analytics

Azure Data Factory

Azure Databricks

Data Warehousing

Lakehouse Architecture

Agile/Scrum

Data Modeling

Tools

Azure DevOps

CI/CD pipelines

Power BI

Job description

Augmented Ally IT Solutions is seeking a Senior Azure Data Engineer for a remote role with an evening shift. You will design and optimize scalable data platforms using Azure Synapse, ADF, Databricks, and ADLS while collaborating with stakeholders in an Agile environment.

The ideal candidate has 5+ years of data engineering experience, strong Python, PySpark, and SQL skills, and a proven track record building data warehouses and lakehouses.