Data Engineer - Power BI (7-10 yrs)

Job Description :

Key Responsibilities :

- Data Acquisition & Transformation : Design and develop end-to-end data pipelines from data sources (including Salesforce) to target systems, focusing on data acquisition, data transformation, and efficient data loading.

- Cloud Solutions : Work with cloud technologies (Azure, AWS, etc.) to architect, implement, and manage data engineering solutions that are scalable, secure, and cost-effective.

- Data Modeling : Create robust data models that ensure high performance, scalability, and reliability for reporting and analysis.

- Data Visualization : Implement Power BI solutions for reporting and visualization, allowing stakeholders to easily analyze data and derive actionable insights.

- ETL Development : Build and optimize ETL pipelines using Azure Data Factory and other relevant tools, ensuring efficient data processing and transfer across systems.

- SQL Expertise : Utilize SQL for writing complex queries and optimizing database performance, ensuring smooth data extraction and integration.

- Collaboration & Mentorship : Work closely with cross-functional teams including business analysts, data scientists, and product managers to define requirements, build solutions, and improve data processes.

Who Are You?

- Experience : 7-10 years of hands-on experience in Data Engineering, specializing in data pipelines, ETL development, and cloud technologies.

- Salesforce Expertise : Proficient in integrating data from Salesforce into data pipelines, ensuring seamless data flow and transformation.

- Cloud Solutions : In-depth experience with cloud platforms such as Azure, including services like Azure Data Factory for data movement and transformation.

- Power BI Expertise : Strong proficiency in Power BI for building interactive reports and dashboards that offer insightful data visualizations.

- Data Modelling : Expertise in creating efficient and scalable data models for both operational and analytical purposes.

- ETL & SQL : Solid experience in developing ETL processes and writing complex SQL queries to transform and load data into databases.

- Problem-Solving : Excellent analytical and troubleshooting skills, with the ability to resolve data-related challenges effectively.

- Collaboration : Ability to work closely with various teams, ensuring that the data solutions meet business needs and expectations