About the Role
We are hiring skilled Data Engineers to join a high-impact team delivering innovative, scalable, and cloud-first data solutions across industries.
Key Responsibilities
1. Tools & Experience
Work with Power BI, Azure Data Factory, SSIS, and Databricks.
Evaluate and improve tool usage efficiency, ensuring seamless integration and performance.
2. Data Wrangling & Transformation
Write efficient DAX, SQL/T-SQL, and Python code for complex data transformations.
Implement Row-Level Security (RLS) and region-based data restrictions in SQL.
3. ETL & Architecture
Design and implement ETL pipelines following best practices and layered architectures (Bronze/Silver/Gold).
Demonstrate experience in end-to-end ETL design, testing, and deployment using Azure Data Factory and Databricks.
4. Semantic Models & Security
Develop semantic data models, define cardinality, and configure access privileges.
Apply views, stored procedures, and security logic to enforce data governance and compliance.
5. Big Data Practices
Handle large-scale fact and dimension tables using effective indexing and partitioning strategies.
Apply CTEs, CTAS, and materialized views to optimize data queries and performance.
Must-Have Technical Skills
Primary Technical Proficiencies (All Required)
SQL Server Product Suite:
Strong expertise in SSMS, SSIS, SSAS, and SSRS.
Microsoft Azure Cloud:
Hands-on experience with Azure Data Factory (ADF) and Logic Apps.
Experience implementing CI/CD practices in cloud environments.
Programming for Data:
Advanced proficiency in Python and PySpark for data manipulation, transformation, and orchestration.
Main Technologies (Mandatory)
Azure Databricks & Spark Ecosystem:
Strong knowledge of Spark, Spark SQL, Delta Tables, PySpark, and Lakehouse Architecture.
Data Integration:
Proven experience with Azure Data Factory (ADF) for orchestration and transformation pipelines.
Nice to Have (Preferred but Not Mandatory)
Experience with Azure Data Lake and understanding of Lakehouse design principles.
Hands-on skills in DAX and Power BI for data modeling and visualization.
Familiarity with Azure Fabric and ADF Dataflows for advanced data integration scenarios.
Application Deadline
October 27, 2025
13 days remaining