to join our team. This is a key position for an individual who thrives in a
Microsoft-centric
environment and possesses extensive expertise in
data management, business intelligence, and cloud technologies
. The ideal candidate will be a strong communicator, capable of collaborating with both customers and internal teams, and have the flexibility to travel as required.
Responsibilities:
Design, develop, and maintain Business Intelligence (BI) solutions using Microsoft technologies including SQL Server, Power BI, SSIS, SSRS, Azure and Fabric.
Architect and implement data solutions in Microsoft Azure (Azure Data Factory, Azure Synapse, and Azure SQL Database).
Work closely with customers to understand business requirements, propose data solutions, and deliver actionable insights.
Lead and mentor junior team members in the development and optimization of data pipelines, data models, and BI dashboards.
Collaborate with internal teams to ensure seamless integration of BI solutions into existing systems.
Take ownership of the full BI lifecycle, including requirements gathering, data modeling, development, testing, and deployment.
Troubleshoot and optimize data workflows to ensure high performance and reliability.
Stay up-to-date with the latest Microsoft technologies and industry trends, evaluating new tools and solutions for potential integration into our ecosystem.
Work in an agile environment and adapt quickly to changes in priorities or business needs.
Travel to customer locations for meetings, workshops, or on-site project work as required.
Required Skills & Qualifications:
Bachelor's degree in Computer Science, Information Systems, or related field.
Minimum of
5
years of experience in data development and business intelligence, with at least 3 years working with Microsoft technologies.
Strong experience in
SQL Server (SQL, T-SQL, SSIS, SSRS).
Expertise in
Power BI,
including report and dashboard development,
DAX
, and
Power Query
.
Experience with cloud platforms, specifically
Microsoft Azure (Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Analysis Services)
.
Strong understanding of data modeling, ETL processes, and performance tuning.
Solid knowledge of Microsoft certifications, such as:
+
Microsoft Certified: Azure Data Engineer Associate
+
Microsoft Certified: Power BI Data Analyst Associate
+
Microsoft Certified: Azure Solutions Architect Expert (preferred)
Proven ability to communicate technical concepts to non-technical stakeholders and customers.
Strong problem-solving skills, attention to detail, and the ability to work independently.
Experience with additional data platforms (e.g., Google BigQuery, Snowflake) is a plus.
Familiarity with Agile methodologies and collaborative development tools (e.g., Jira, Confluence).
Willingness to travel for client meetings and project delivery (up to 25%).
Preferred Skills:
Knowledge of other BI tools or cloud platforms, including Google BigQuery, Snowflake, or AWS.
Experience with advanced analytics and machine learning models is a bonus.
* Strong interpersonal skills with the ability to build relationships with both technical and business stakeholders.
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