Job Summary
The Sr. Developer role focuses on leveraging Azure Data Factory to design and implement data solutions in a hybrid work model. With 9 to 12 years of experience the candidate will contribute to optimizing data processes and enhancing efficiency. Experience in Cards & Payments is advantageous enabling impactful contributions to the companys data-driven initiatives.
Responsibilities
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Develop and implement data solutions using Azure Data Factory to streamline data processes and enhance efficiency.
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Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.
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Optimize data pipelines to ensure seamless integration and processing of large datasets.
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Analyze and troubleshoot data-related issues providing timely resolutions to maintain data integrity.
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Ensure data security and compliance with industry standards safeguarding sensitive information.
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Contribute to the continuous improvement of data architecture and infrastructure.
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Utilize domain knowledge in Cards & Payments to enhance data solutions and drive business insights.
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Participate in code reviews and provide constructive feedback to peers fostering a culture of excellence.
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Stay updated with the latest advancements in Azure Data Factory and related technologies.
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Document data processes and workflows to ensure clarity and facilitate future enhancements.
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Support the deployment of data solutions in a hybrid work model ensuring smooth transitions and minimal disruptions.
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Engage in knowledge sharing sessions to promote best practices and innovative solutions.
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Collaborate with stakeholders to align data solutions with business objectives maximizing impact on company goals.
Qualifications
- Possess extensive experience in Azure Data Factory demonstrating proficiency in designing and implementing data solutions.
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Have a strong understanding of data integration and processing techniques ensuring efficient data workflows.
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Experience in Cards & Payments domain is a plus providing valuable insights into industry-specific data needs.
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Demonstrate excellent problem-solving skills with the ability to troubleshoot and resolve data-related issues effectively.
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Exhibit strong communication skills enabling effective collaboration with cross-functional teams.
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Show commitment to continuous learning and staying updated with emerging data technologies.