Data Engineer

Job Description:

Data Engineer – Data Architecture / Engineering Team

 Role Focus:
Design, build, and optimize scalable data solutions within the Azure ecosystem. Collaborate with architects to enhance data performance, quality, and reliability across enterprise platforms.

Key Skills & Experience

 • Azure Data Engineering

• Hands-on experience with Azure Databricks, Unity Catalog, and Azure Data Lake.
• Strong understanding of data ingestion, transformation, and storage best practices in Azure.
• Familiarity with ETL/ELT frameworks and performance optimization techniques.

• Power BI Development

• Ability to create and optimize Power BI dashboards and reports.
• Experience in implementing data models, DAX calculations, and visualization best practices.

• Collaboration & Optimization

• Work closely with data architects to identify, implement, and document data optimizations.
• Support the design and improvement of data pipelines and workflows for better scalability and performance.

• Data Governance & Cataloging

• Exposure to Unity Catalog setup and governance principles for secure, well-managed data access.
• Understanding of data lineage, security, and compliance within cloud data platforms.

Additional Qualities

• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities to collaborate with architects and developers.
• Passion for learning emerging Azure data technologies and improving data delivery efficiency.

Preferred Experience

• 2–3 years of experience in data engineering or related roles.
• Prior exposure to Azure-based data projects (Databricks, Synapse, Power BI).
• Experience working in enterprise-scale or consulting environments preferred.