Time zones: EST (UTC -5) MST (UTC -7) ART (UTC -3) UTC -4 UTC -4:30 UTC -3 UTC -2 SBT (UTC +11) GMT (UTC +0) CET (UTC +1) EET (UTC +2) MSK (UTC +3) CEST (UTC +2) BST (UTC +1) JST (UTC +9) CST (UTC +8) WIB (UTC +7) MMT (UTC +6:30) BST (UTC +6) NPT (UTC +5:45) IST (UTC +5:30) UZT (UTC +5) IRDT (UTC +4:30) GST (UTC +4) The Role:
We are looking for a Senior Business Intelligence Engineer for one of our clients. You are a perfect candidate if you are growth-oriented you love what you do and you enjoy working on new ideas to develop exciting products.
What we’re looking for:
- 5+ years of professional experience in Business Intelligence development or data engineering roles.
- Expertise in designing and building solutions using Microsoft Power BI.
- Proven track record of working with large datasets and complex SQL queries.
- Proficiency in SQL including advanced query writing stored procedures and performance tuning.
- Strong experience with data modeling Power Query DAX and Power BI service administration.
- Familiarity with database platforms like SQL Server Azure SQL Database or PostgreSQL.
- Experience with ETL tools and processes (e.g. SSIS Azure Data Factory or similar).
- Knowledge of data warehouse design principles (e.g. star schema dimensional modeling).
Nice-to-have skills:
- Experience with Azure data tools (e.g. Azure Data Lake Azure Synapse Analytics).
- Familiarity with version control tools like Git.
- Knowledge of scripting languages such as Python for data processing.
- Microsoft certifications in Power BI or SQL Server.
Responsibilities:
- Design and build interactive dashboards and reports in Microsoft Power BI to meet business requirements.
- Implement data modeling calculated columns and DAX measures for optimized reporting solutions.
- Develop scalable reusable Power BI templates and reports for enterprise-wide use.
- Write complex SQL queries stored procedures and scripts for ETL processes and data manipulation.
- Design and maintain efficient data pipelines and workflows to integrate clean and transform data from multiple sources.
- Optimize database queries and ensure high performance in large datasets.
- Design and implement data warehouse solutions and schemas to support BI requirements.
- Integrate data from diverse sources such as relational databases cloud-based platforms APIs and flat files.
- Collaborate with the data engineering team to design and enhance ETL workflows.
- Monitor and optimize the performance of Power BI reports and underlying data models.
- Troubleshoot and resolve performance bottlenecks in SQL queries and BI tools.
- Ensure data accuracy integrity and reliability across BI platforms.
What we offer:
Get paid not played
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Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
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Compensation
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