Senior Data Analytics Engineer ( Azure & Fabric)

About the Role

We are seeking a Senior Data Analytics Engineer with expertise in Azure and Fabric to join our dynamic team. You will focus on developing and managing advanced data analytics solutions, leveraging your skills with tools such as Python, Power BI, Data Factory, and Databricks to drive data-driven decision making across the organization.

Key Responsibilities

• Design and implement data analytics solutions using Azure Fabric, Data Factory, and Databricks to meet the organization's analytics needs.
• Develop and maintain ETL processes to efficiently retrieve, process, and transform data from various sources.
• Collaborate with cross-functional teams to understand business requirements and provide actionable insights through data visualization using Power BI.
• Optimize existing data workflows and troubleshoot data-related issues to enhance performance and reliability.
• Conduct data validation and quality assurance to ensure accuracy and integrity of data used in analytics.
• Mentor junior team members and share best practices in data analytics methodologies and tools.
• Stay updated with the latest trends and technologies in data analytics and recommend innovative solutions to enhance data capabilities.
• Document technical processes and create user manuals for analytics tools to support team members.

Requirements

• Proven experience in developing data analytics solutions using Azure services, particularly Fabric, Data Factory, and Databricks.
• Strong proficiency in Python for data manipulation, scripting, and automation of data workflows.
• Experience in building interactive and impactful dashboards with Power BI.
• Demonstrable understanding of data modeling, data warehousing, and ETL practices.
• Familiarity with SQL and data querying for effective data retrieval and analysis.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to communicate complex data insights to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with other analytics tools and programming languages such as R or Scala.
• Knowledge of machine learning concepts and frameworks to enhance predictive analytics capabilities.
• Relevant certifications in Azure or data analytics disciplines.
• Background in working within an Agile team environment.

We are committed to creating an inclusive environment for all employees and encourage applications from all individuals, regardless of their background. We aim to reflect the diverse communities we serve in accordance with the Employment Equity Act.