Data Engineering Specialist
4 days ago
Key Responsibilities:
As a Clinical Data Transformation Expert at Astellas Pharma Inc., you will be responsible for developing and maintaining comprehensive data transformation strategies tailored to the unique needs of Clinical and Operational data management.
Key Responsibilities Include:
- Designing scalable, efficient, and secure ETL, data warehouses, and data lakes to store and manage clinical data effectively.
- Defining and implementing data models, schemas, and integration frameworks to ensure the integrity and accessibility of clinical data.
- Developing APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases.
- Implementing security controls, encryption mechanisms, and access management policies to protect sensitive data from unauthorized access, breaches, and cyber threats.
- Monitoring compliance with healthcare regulations such as HIPAA, GDPR, and other data privacy laws, and implementing measures to address potential risks and vulnerabilities.
- Documenting data ingestion designs, technical specifications, and operational procedures to facilitate knowledge transfer and support ongoing maintenance and enhancements.
- Communicating effectively with stakeholders to ensure alignment of engineering solutions with organizational goals and objectives.
- Staying abreast of emerging technologies, trends, and best practices in clinical data management, data ingestion and transformation.
- Identifying opportunities for process improvement, automation, and innovation to enhance the efficiency and effectiveness of data management practices.
Qualifications:
Required:
- Bachelor of Science degree in Computer Science, Information Systems, Data Science, or a related field.
- 3-5 years of relevant experience working in in data architecture, engineering roles or related roles within a healthcare industry.
- Expertise (3-5 years) in ETL and Data Integration tools like Talend (preferred), Databricks, or DB Lakehouse.
- Strong command of database design, data modelling, and data integration techniques.
- Proficiency in programming languages commonly used in data management and analysis, such as SQL, SAS, Python, or R.
- Expertise in working with databases and data warehousing technologies like SQL Server, Oracle, MySQL, AWS Redshift, Azure Synapse, Google BigQuery etc.
- Familiarity with BI tools like QlikSense, Tableau and PowerBI.
- In-depth understanding of life sciences business processes, adept at translating business requirements into effective technical solutions.
- Innovative problem-solving abilities for addressing complex data-related challenges.
- Experience with Agile methodology and mindset.
- Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams, business stakeholders, and technical experts.
- Project management capabilities, ensuring adherence to timelines for successful solution delivery.
- Demonstrated commitment to staying current with the latest trends, technologies, and best practices in the data and analytics field.
- Relevant certifications in cloud computing and data analytics tools/platforms are advantageous.
Preferred:
- Life Sciences / Pharma industry experience
- 3-5 years demonstrated experience with Talend
- Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery.
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