The Data Engineer role focuses on leveraging Azure technologies and Power BI to develop data solutions that meet business needs and improve data accessibility and reporting.
In Short
3-8 years of experience as an Azure Data Engineer.
Proficient in Power BI Desktop and SQL.
Experience with Azure Data Factory, Databricks, and Synapse.
Ability to design and implement ETL processes.
Strong data modeling skills for reporting needs.
Experience in Agile environments and CI/CD practices.
Excellent communication and stakeholder management skills.
Knowledge of performance tuning and cloud-based applications.
Certifications in Microsoft Azure and Data Analytics are a plus.
Remote work opportunity available.
Requirements
3 - 8 years of full-time experience as an Azure Data Engineer.
Experience using Power BI Desktop, Power Query, Power Pivot, and Power View.
Ability to write SQL and DAX for data analysis.
Experience in developing data pipelines using ADF and Databricks.
Design storage solutions on ADLS with Parquet and Delta formats.
Understand data modeling concepts and create effective data models.
Perform data ETL processes for clean and accurate datasets.
Monitor and resolve data pipeline issues.
Propose solutions based on best practices and documentation.
Work closely with stakeholders to deliver effective solutions.
Benefits
Opportunity to work with a global leader in IT solutions.
Access to a large network of professionals and resources.
Engagement in innovative projects and technologies.
Flexible working arrangements including remote work.
Professional development and training opportunities.