Data Engineer

# Data Engineer ## Company Overview *(Company information is not specified)* ## Job Summary The Data Engineer will play a vital role in our organization by utilizing their expertise in data engineering to manage and optimize data pipelines, as well as to support data analysis and reporting. This role contributes to enhancing data-driven decision-making processes within the company. ## Responsibilities - Develop and maintain robust ETL processes using **SQL**, **SQL Server**, and **SSIS**. - Implement and manage data engineering solutions in **Azure**, particularly using **Azure Data Factory (ADF)**, **Data Fabric**, and **Databricks** with **PySpark**. - Conduct performance tuning and optimization of complex **SQL Server** based data warehouses. - Collaborate with business stakeholders to gather requirements and improve data access and usability, especially in a **Finance Data Warehouse** environment. - Create and manage data visualizations using **Power BI**. - Quickly troubleshoot and resolve data-related issues while ensuring data integrity and accuracy. - Demonstrate excellent communication skills by working collaboratively with cross-functional teams. ## Qualifications - **6-8 years** of relevant experience in data engineering. - Strong proficiency in **SQL**, **SQL Server**, and **SSIS**. - Solid experience with Azure data engineering tools, including **ADF**, **Data Fabric**, **Databricks**, and **PySpark**. - Familiarity with **Power BI** for reporting and analysis. - Comprehensive understanding of complex data warehouse environments. - Proven problem-solving skills and ability to work independently. - Excellent communication and interpersonal skills. ## Preferred Skills - Experience with **Finance Data Warehouse** is a significant advantage. - Ability to demonstrate proactiveness in identifying and solving data challenges. ## Experience Candidates should possess **6-8 years** of experience in data engineering, particularly with a focus on data integration, data management, and analytical tools. ## Environment *(Typical work setting and location details are not specified)* ## Salary *(Salary information is not specified)* ## Growth Opportunities *(Career advancement opportunities within the company are not specified)* ## Benefits *(Offered benefits are not specified)*