Azure Data Engineer with expertise in Databricks and Power BI (DAX). Below is a streamlined summary of the role and responsibilities:

Role Overview:

As an Azure Data Engineer you will be responsible for designing, developing, and maintaining data pipelines, leveraging Azure services with a primary focus on Azure Databricks and Power BI (DAX). You will collaborate with cross-functional teams, meet business requirements, implement best practices for data governance, and ensure high-quality data solutions. This role requires a strong background in cloud-based data storage, ETL processes, data analytics, and creating data-driven insights.

Key Responsibilities:

Data Pipeline Development:

Design and maintain data pipelines using Azure Databricks for efficient data ingestion, wrangling, transformation, and integration.

Develop robust ETL processes ensuring optimal performance and scalability.

Data Modeling & Visualization:

Utilize Power BI (DAX) to design optimized data models and develop insightful visualizations.

Expertise in writing complex DAX formulas for reporting and data analysis.

Collaboration & Communication:

Work with business analysts, data scientists, and other stakeholders to understand and define requirements for data-driven insights and analytics.

Provide guidance and mentorship to junior team members, helping with troubleshooting and debugging of data pipelines.

Data Governance & Compliance:

Implement and maintain data governance, security, and compliance best practices within the Azure environment.

Monitoring & Troubleshooting:

Monitor, troubleshoot, and ensure reliability and data integrity of deployed pipelines.

Continuous Improvement:

Stay up-to-date with emerging trends and technologies in the data engineering and analytics domain.

Contribute to knowledge sharing through project-related documentation and team collaboration.

Requirements:

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Experience: 3+ years of experience in data engineering, specifically with Azure and data transformation technologies like Azure Databricks, Power BI (DAX), and SQL.

Skills:

Azure Databricks and Power BI (DAX) expertise.

Strong SQL skills and experience with data modeling and ETL processes.

Hands-on experience with cloud-based data storage and processing technologies.

Proficiency in Python for data manipulation and analytics.

Experience in developing tabular models in Power BI, creating optimized DAX formulas, and performance tuning.

Power Automate knowledge (optional but preferred).

Nice to Have:

Experience with Azure Data Lake, Azure Data Factory, and Power Automate.

Cloud certification (e.g., Microsoft Azure Fundamentals, Azure Data Engineer).

Measures of Success:

Adherence to engineering standards, timelines, and best practices.

Successful and error-free development and deployment of data pipelines.

Timely resolution of defects and minimizing recurrence of known issues.

Completion of relevant certifications and training.

This role offers a dynamic opportunity to work on cutting-edge data solutions in an innovative environment. If you are a driven individual with a strong background in Azure-based data engineering and analytics, we encourage you to apply and be a part of a forward-thinking team at.