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
No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.
Predictable project hours
Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
Flex days, so you can recharge
Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
Career-accelerating positions at cutting-edge companies
Discover exclusive long-term remote positions at the world’s most exciting companies.
Hand-picked opportunities just for you
Skip the typical recruitment roadblocks and biases with personally matched positions.
One seamless process, multiple opportunities
A one-time contracting process for endless opportunities, with no extra assessments.
Compensation
Enjoy the same pay, every month with positions landed through Proxify.