Vacancy expired!
- Works closely with business units and engineering team to develop short and long term data strategy
- Design data integrations and data quality framework (data governance).
- Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Communicates findings, solutions, and insights with non-technical stakeholders in a simple, precise, and clear manner.
- Strategize and executes data engineering road map towards Cloud migration (Azure)
- Manages legacy MSBI stack, performing maintenance and critical updates.
- Plan, create, and manage Sprints ( have a good understanding of Agile methodologies)
- Mentor and coach junior team members and help them solve technical challenges.
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- 7-9 years of data technology experience of building data platforms and executing data projects using Microsoft BI and Azure technologies.
- Solid understanding of database design concepts.
- Proficient in writing queries in T SQL and stored procedures
- Strong experience of storytelling and user-friendly dashboards using Power BI or other visualization tools.
- Experience in Azure Databricks, Azure Data Factory, Synapse Analytics (workspace), Synapse SQL Warehouse (Formerly known as Azure SQL DW), Azure Data Lake and Azure blob storage.
- In depth understanding and hands-on skills of tabular models using Azure Analysis Services.
- Strong project management and organizational skills.
- Proven hands-on experience in MSBI full stack (SSIS, SSRS, SSAS, T SQL)
- BS or MS degree in Computer Science or a related technical field
Vacancy expired!