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Lead Data Integration Specialist
hace 7 meses
As a Lead Data Integration Specialist, you will be responsible for leading the integration of data from various sources, ensuring that it is accurate, timely, and consistent. You will also lead a team of data integration specialists and be the primary point of contact for client-facing activities related to data integration projects.
**Key Responsibilities**:
- Lead the data integration team to deliver high-quality data integration solutions.
- Define, design and develop data integration processes and procedures to ensure data accuracy and consistency.
- Manage data mapping and transformation activities to integrate data from various sources.
- Work with cross-functional teams to understand data requirements and recommend data integration solutions.
- Develop and maintain data integration standards and best practices.
- Develop and maintain documentation related to data integration activities.
- Ensure that data integration projects are completed on time and within budget.
- Act as the primary point of contact for client-facing activities related to data integration projects.
- Collaborate with IT and business stakeholders to implement data integration solutions that meet client needs.
- Monitor and optimize data integration processes to ensure maximum efficiency.
- Develop and maintain relationships with external vendors and partners to ensure data integration activities are aligned with organizational objectives.
**Requirements**:
- Bachelor's degree in computer science, information systems, or a related field.
- At least 3 years of experience in data integration, including experience managing a team of data integration specialists.
- Strong understanding of data integration concepts, tools, and technologies.
- Strong leadership and people management skills.
- Excellent analytical, problem-solving, and decision-making skills.
- Excellent communication skills and ability to work effectively with cross-functional teams and clients.
- Experience with data mapping and transformation, ETL tools, and data warehousing.
- Strong understanding of data modeling and database design.
- Experience with cloud-based data integration platforms such as AWS Glue, Microsoft Azure Data Factory, or Google Cloud Dataflow.
- Strong understanding of data governance and security best practices.
