Design and implement general architecture for complex data systems.
Translate business requirements into functional and technical specifications.
Design and implement lakehouse architecture.
Develop and manage cloud-based data architecture and reporting solutions.
Apply data modelling principles for relational and dimensional data structures.
Design Data Warehouses following established principles (e.g.,Kimball, Inmon).
Create and manage source-to-target mappings for ETL/ELT processes.
Mentor junior engineers and contribute to architectural decisions and code reviews.

Bachelor’s degree in computer science, Computer Engineering, MIS, or related field.
5+years of experience with Microsoft SQL Server and strong proficiency in T
SQL, SQL performance tuning (Indexing, Structure, Query Optimization).
5+years of experience in Microsoft data platform development and implementation.
5+years of experience with PowerBI or other competitive technologies.
3+years of experience in consulting, with a focus on analytics and data solutions.
2+ years of experience with Databricks, including Unity Catalog, Databricks SQL, Workflows, and Delta Sharing.
Proficiency in Python and Apache Spark.
Develop and manage Databricks notebooks for data transformation, exploration, and model deployment.
Expertise in Microsoft Azure services, including Azure SQL, Azure Data Factory (ADF), Azure Data Warehouse (Synapse Analytics), Azure Data Lake, and Stream Analytics

Senior Data Engineer

Key skills