Business Intelligence Developer
New
B
BradkenMining
Location: Coimbatore, India. Coimbatore is preferred; however, we may consider a remote arrangement for the right candidate.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5-8 years of experience in developing and supporting ETL solutions using SSIS (SQL Server Integration Services) in enterprise environments.
- Required Skills
- Microsoft Power BIPySpark
Requirements
- Have a Bachelor's degree in Computer Science, Information Technology, Data Science, or a related discipline, or equivalent practical experience.
- Bring 5-8 years of experience developing and supporting enterprise ETL solutions using SSIS.
- Have strong SQL/T-SQL skills, including database development, performance tuning, and data transformation.
- Have experience designing, developing, and supporting data warehouse and business intelligence solutions.
- Have experience with data integration, data migration, and enterprise reporting platforms.
- Have hands-on experience with Power BI, DAX, and report development.
- Have experience with Azure Data Factory, Microsoft Fabric, or other cloud-based data integration tools.
- Have experience developing and supporting business process automation solutions using Microsoft Power Apps and Power Automate.
- Bring analytical, problem-solving, and stakeholder engagement skills.
- PySpark experience is highly regarded.
- Experience with Azure DevOps, GitHub, and CI/CD practices is highly regarded.
Responsibilities
- Design, develop, and maintain enterprise ETL solutions using SSIS, Azure Data Factory, and Microsoft Fabric.
- Build, enhance, and optimise data warehouse solutions, including dimensional data models and data marts.
- Develop and support integrations between ERP systems, business applications, and enterprise reporting platforms.
- Create, maintain, and optimise Power BI dashboards and reports.
- Monitor, troubleshoot, and improve data quality, performance, and reliability across enterprise data platforms.
- Work with business stakeholders to understand reporting and integration requirements and translate them into technical solutions.
- Contribute to data modernisation initiatives, including cloud-based data platforms and AI-enabled analytics capabilities.
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