Description

You will design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services, owning data solution integrity from ingestion to visualization.

This role is on-site.

Responsibilities

• Build and optimize data pipelines using Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Fabric.
• Query modern RDBMS (SQL Server, PostgreSQL) using SQL DML for efficient data retrieval and transformation.
• Develop and maintain reporting and automation solutions using Power BI, PowerApps, and Power Automate.
• Manage CI/CD processes for deploying data solutions using Azure DevOps pipelines and repositories.
• Validate data quality, troubleshoot pipeline issues, and collaborate with stakeholders to define requirements.

Required Skills

• 8+ years of experience in data engineering or similar roles dealing with ETL processes.
• Strong proficiency with Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Fabric.
• Experience with Azure Data Lake Storage Gen 2 and Azure Blob Storage.
• Hands-on experience with Power BI, PowerApps, and Power Automate.
• Proficiency in SQL Server and PostgreSQL.
• Understanding of software engineering principles, including CI/CD, version control, and testing.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

Preferred Skills

• Experience querying REST-API endpoints as data sources.
• Familiarity with Git workflows and Ansible in Azure DevOps pipelines.

Key Skills

Education

Bachelor’s degree