Overview
Job Description
We are looking for a Global Data Factory Specialist (Data Integration Specialist) to join the client’s Data & Analytics organization. This role will play a key part in enabling data excellence across the company, contributing to the standardization and centralization of data processes worldwide. As a Global Data Factory Specialist, you will be responsible for designing and managing end-to-end data integrations from multiple sources into clean and structured data layers. You will collaborate closely with global teams across the Data & Analytics organization to support the company’s data-driven strategy, ensuring data quality, performance, and reliability.
Responsibilities
* Design, develop, and maintain robust data pipelines integrating data from diverse sources into curated layers.
* Implement and manage API and FT integrations, ensuring seamless data flow between systems.
* Perform data cleansing, transformation, and enrichment to deliver high-quality, business-ready data.
* Collaborate with data analysts, data engineers, and stakeholders to translate business requirements into technical solutions.
* Monitor and optimize data pipelines for performance, cost, and scalability.
* Communicate proactively with data consumers about pipeline execution, incidents, and remediation plans.
* Maintain comprehensive documentation for all data integration processes and workflows.
Requisitos
* Bachelor’s degree in Computer Science, Information Technology, or a related field.
* 5+ years of experience in data management, data modeling, or data integration.
* Strong experience with APIs, FT integrations, and data integration tools.
* Proficiency in PySpark, SQL, and cloud platforms such as AWS or Snowflake.
* Hands-on experience with AWS services (Glue, Lambda, Airflow, Cloud9, Step Functions).
* Solid knowledge of data transformation techniques (e.G., Parquet).
* Proven experience working with pharma datasets and applications (Veeva CRM, Adobe Campaign, Google Suite, Veeva Vault, MDG, etc.).
* Excellent problem-solving skills, attention to detail, and technical judgment.
* Fluent in English (spoken and written).
* Strong collaboration, communication, and stakeholder management skills.
* Results-oriented, organized, and capable of managing multiple priorities.
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