Azure Data Engineer — Synapse, ADF, Databricks Expert

Apptad Inc; Jackson (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Apptad Inc. in the United States seeks an Azure Data Engineer to design and implement scalable data solutions using Azure Synapse, Data Factory, and Databricks. You will build pipelines, manage data storage, and secure data with Key Vault.

The role requires hands-on scripting in Python, SQL, and CI/CD for deployment across Dev/QA/Prod environments, plus collaboration with stakeholders to deliver reliable data for analytics and BI.

Qualifications

• Hands-on experience with Azure Synapse Analytics and data integration services.
• Experience building and deploying data pipelines in ADF, Databricks, and SQL pools.
• Proficient in Python (PySpark), Pandas, and data processing libraries.
• Experience with API data retrieval and troubleshooting data issues.
• Experience with CI/CD deployment of data code across dev/QA/prod environments.

Responsibilities

• Design and implement end-to-end data solutions on Azure.
• Develop and maintain pipelines, notebooks, and data flows.
• Collaborate with teams to deploy code across environments.
• Enable data access via APIs and optimize performance.
• Troubleshoot data processing issues and support BI consumption.

Skills

Azure Synapse Analytics

Azure Data Factory

Azure Databricks

Azure Storage

Azure Key Vault

SQL Pools

CI/CD pipelines

Python

Power BI

API data ingestion

Tools

Python (PySpark)

Job description

Apptad Inc. in the United States seeks an Azure Data Engineer to design and implement scalable data solutions using Azure Synapse, Data Factory, and Databricks. You will build pipelines, manage data storage, and secure data with Key Vault.

The role requires hands-on scripting in Python, SQL, and CI/CD for deployment across Dev/QA/Prod environments, plus collaboration with stakeholders to deliver reliable data for analytics and BI.