Data Integration Specialist
4 days ago
Talent is seeking a highly skilled Data Integration Specialist to join our team on a contract basis. As an ETL Developer with expertise in Azure Data Factory and QlikSense, you will play a critical role in designing, developing, and maintaining ETL processes to manage data flows and integrations between different systems.
Key Responsibilities- Design and Implement ETL Pipelines: Develop and maintain ETL pipelines using Azure Data Factory to ingest, transform, and load data from various sources.
- Develop QlikSense Dashboards and Reports: Create and configure QlikSense dashboards and reports to provide meaningful insights to business stakeholders.
- Collaborate with Data Teams: Work with data architects, data scientists, and business analysts to understand data requirements and translate them into robust ETL workflows.
- Ensure Data Integration and Flow: Ensure efficient data integration and flow between cloud platforms and on-premise environments.
- Troubleshoot Data Issues: Troubleshoot and resolve any data-related issues, ensuring high levels of data quality and reliability.
- Monitor and Optimize Performance: Monitor and optimize performance of ETL pipelines and QlikSense applications for scalability.
- Document Processes and Data Flows: Document processes, data flows, and system architecture for future maintenance and knowledge transfer.
- Implement Data Governance and Security: Implement best practices for data governance, security, and compliance in cloud environments.
- Work in an Agile Environment: Work in an agile environment to deliver high-quality data solutions within tight deadlines.
- 3+ Years of ETL Development Experience: 3+ years of hands-on experience in ETL development with a focus on Azure Data Factory.
- Proficient in Building Data Pipelines: Proficient in building and maintaining data pipelines for both structured and unstructured data.
- Strong Experience with QlikSense: Strong experience with QlikSense for data visualization, dashboard development, and reporting.
- Azure Services Experience: Experience with Azure services such as Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and Power BI is a plus.
- Strong Knowledge of SQL and T-SQL: Strong knowledge of SQL and T-SQL for data querying and manipulation.
- Troubleshooting and Debugging: Proficient in troubleshooting and debugging data issues, with the ability to analyze performance bottlenecks.
- API Integrations and Large Datasets: Experience working with API integrations and handling large datasets.
- CI/CD Pipelines and Version Control: Familiarity with CI/CD pipelines for automated data deployments and experience with version control tools (e.g., Git) for managing codebases and workflows.
- Data Governance and Security: Knowledge of data governance and security best practices in the cloud.
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