iLink Digital - Data Engineer - ETL/Spark

Requirements

Key Responsibilities

• Design and implement end-to-end data pipelines using Microsoft Fabric.
• Work with Lakehouses, Dataflows, Data Warehouses, and Notebooks within Fabric.
• Develop scalable ETL/ELT processes leveraging OneLake, Delta tables, and Spark engines.
• Collaborate with stakeholders to gather business requirements and translate them into
  

• Integrate various data sources (structured and unstructured) and ensure data quality,
  

• Optimize performance and cost-efficiency of data solutions within Fabric and Azure.
• Work closely with Power BI teams for semantic modeling and real-time dashboards.
• Stay updated with the latest features in Microsoft Fabric and adopt best practices.
  

Required Skills

• 6+ years of experience in data engineering.
• Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake, Pipelines).
• Proficiency in SQL, Python, and Spark.
• Strong understanding of Azure Data Services : Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Gen2.
• Experience with Power BI, especially in integrating Fabric datasets.
• Knowledge of data modeling, data warehousing, and data governance.
• Familiarity with CI/CD practices and DevOps for data solutions.
  

Preferred Qualifications

• Microsoft Certified : Azure Data Engineer or Fabric-specific certifications.
• Experience working in agile delivery models and cross-functional teams.
• Familiarity with Databricks, Delta Lake, or other cloud-native analytics platforms is a plus.