Description

You will design and implement enterprise data solutions with a focus on Master Data Management (MDM) and Business System Analysis (BSA). You bridge the gap between complex data engineering infrastructure and business intelligence requirements.

Responsibilities

• Design, develop, and deploy Power BI scripts, dashboards, and interactive visual reports to aid decision-making.
• Analyze current ETL processes and define technical specifications for new systems to enhance Business Intelligence capabilities.
• Develop tabular and multidimensional data models, creating relationships and custom calculations as required.
• Support data science teams by ensuring secure and governed data consumption in commercial environments.
• Implement CI/CD pipelines using Git and Azure DevOps, managing branching strategies, pull requests, and code reviews.

Required Skills

• 3+ years of hands-on experience implementing Data Lake architectures.
• Strong proficiency in Azure Data Factory (ADF), Azure Synapse Analytics, ADLS, and SQL Database.
• Experience with Databricks, Azure ML, and Python or Scala/Java for programming and debugging.
• Expertise in Power BI, including DAX queries, chart creation, and data documentation.
• Ability to analyze data, identify KPIs, and present insights through clear reports and graphs.
• Understanding of cloud-computing infrastructure setup in development environments.
• Experience deploying Machine Learning solutions into production.
• Good to have: Experience building REST services.

Preferred Skills

• Experience working directly with users and team members to drive performance improvements.
• Ability to define timelines and translate business objectives into technical strategies.

Key Skills

Education

Any Graduate