Data Engineer

Requirements

• Strong proficiency in Data Engineering, Data Modelling, and building Lakehouse/Data Warehouse solutions
• Demonstrates strong proficiency in Medallion architecture and metadata-driven concepts.
• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Data Activator, Power BI integration)
• Hands-on with Databricks (Spark, Delta Lake, DLT pipelines, Unity Catalog)
• Proficiency in ETL/ELT development and orchestration within Azure ecosystem
• Strong skills in Data Analytics using SQL, Python or PySpark
• Knowledge of Cloud-native data platforms including Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Storage, etc.
• Understanding of data governance, security, and CI/CD best practices for cloud data platforms
• Strong problem-solving and analytical skills
• Ability to work independently and remotely in a fast-paced environment
• Bachelor's degree in computer science, Information Technology, or related field

Additional Information

This is a full-time role for a Data Engineer. The Data Engineer will be responsible for designing and implementing scalable data pipelines, developing and maintaining data models, performing Extract, Transform, Load (ETL/ELT) processes, and managing modern data warehousing and analytics solutions-primarily utilizing Microsoft Fabric and Databricks. The role also includes building and operationalizing lakehouse architectures, ensuring data governance and security best practices, and analyzing complex datasets to support business decision-making. Collaboration with cross-functional teams to deliver high-quality data solutions is essential.

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