Data Engineer

**Responsibilities**:

- Design, develop, and maintain PowerBI dashboards to visualize complex data sets and key performance indicators.
- Develop and optimize data pipelines using Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for efficient data ingestion, transformation, and storage.
- Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for data pipelines and dashboards.
- Ensure data quality and integrity by implementing data validation, cleansing, and enrichment processes within data pipelines.
- Perform data profiling, analysis, and troubleshooting to identify and resolve data issues and performance bottlenecks.
- Implement security measures and best practices to safeguard sensitive data within PowerBI dashboards and Azure cloud solutions.
- Monitor and optimize the performance of PowerBI dashboards and data pipelines to meet business SLAs and performance requirements.
- Stay current with industry trends and emerging technologies related to PowerBI, Azure cloud services, and data engineering best practices.
- Provide technical guidance and mentorship to junior team members on PowerBI development and Azure cloud technologies
- Analyze business requirements and design technical solutions that meet those requirements while aligning with TASMU Platform capabilities and architecture.
- Evaluate technical feasibility of data driven solutions and identify technical risks and mitigation strategies.
- Analyze market trends and customer feedback to identify opportunities for product or service enhancements.
- Conduct competitive analysis and stay up-to-date with industry trends to identify new features or services that could be implemented.
- Assess potential impact of implemented technical solutions on existing IT infrastructure, security, and data governance.
- Identify and prioritize technical requirements for services based on customer needs, feasibility, and technical impact.
- Make recommendations on technical solutions to account managers and business development managers based on technical feasibility and alignment with market standards

**Knowledge, Skills and Experience**:

- Bachelor's degree in Computer Science, Information Technology, or related field; Master's degree preferred.
- Proven experience in developing PowerBI dashboards and reports with a strong understanding of data visualization best practices.
- Extensive hands-on experience with Microsoft Azure cloud services, particularly Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Proficiency in SQL and experience with database technologies such as SQL Server, Azure SQL Database, or similar.
- Strong programming skills in languages such as Python, R, or C# for data manipulation and transformation tasks.
- Experience with data modeling techniques and concepts, including star schema, snowflake schema, and dimensional modeling.
- Familiarity with data warehousing concepts and methodologies.
- Excellent problem-solving skills with the ability to analyze complex data sets and identify actionable insights.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
- Proactive attitude towards learning new technologies and adapting to evolving business requirements.
- Certification in Microsoft Azure (e.g., Microsoft Certified: Azure Data Engineer Associate) will be a huge plus
- Experience with DevOps practices and tools for continuous integration and deployment (CI/CD) in Azure.
- Knowledge of machine learning concepts and tools for predictive analytics and data-driven decision-making.
- Experience with Agile development methodologies such as Scrum or Kanban.

**Job Type**: Permanent

**Salary**: QAR20,000.00 - QAR40,000.00 per month