Data Engineer (Fabric/PowerBI)

• Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
• Competitive Compensation: Attractive salary package and performance-based incentives.

Job Requirements

Key Responsibilities

• Design, create, and manage semantic models, data warehouses, dataflows, and lakehouses using Microsoft Fabric.
• Develop and maintain ETL/ELT pipelines to process large and complex datasets.
• Write efficient queries using SQL, DAX, KQL, and Power Query (M).
• Support and optimize Power BI dashboards and reporting solutions.
• Implement data governance, security, and performance optimization best practices.
• Collaborate with analysts, business stakeholders, and data scientists to deliver scalable solutions.
• Use Python for automation, data transformations, and advanced analytics tasks.

Required Skills

• Hands-on expertise with Microsoft Fabric (Lakehouses, Dataflows, Warehouses, Semantic Models).
• Strong knowledge of SQL, DAX, KQL, Power Query (M).
• Proficiency in Python for data engineering workflows.
• Experience with Power BI modeling and development.
• Understanding of data architecture, data governance, and optimization techniques.

Preferred Skills

• Experience with Azure Data Services (Synapse, Data Factory, Databricks).
• Familiarity with CI/CD pipelines, DevOps for data solutions.
• Exposure to machine learning integration with data workflows.
• Knowledge of data security, compliance, and access control frameworks.

Soft Skills

• Strong analytical and problem-solving mindset.
• Ability to work independently and in cross-functional teams.
• Excellent communication and stakeholder management skills.
• Detail-oriented with a focus on data quality and accuracy.
• Adaptability to new technologies and evolving project requirements.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related field.
• Minimum 3–6 years of hands-on experience in data engineering and warehousing.
• Proven expertise with Microsoft Fabric and Power BI ecosystems.