Senior Business Intelligence Engineer

last updated December 7, 2024 1:28 UTC

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
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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.
Apply info ->

To apply for this job, please visit career.proxify.io

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