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Data Transformation Engineer
Astellas Pharma
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Develop and maintain comprehensive data transformation strategies tailored to the unique needs of Clinical and Operational data management.
- Design scalable, efficient, and secure ETL, data warehouses, and data lakes to store and manage clinical data effectively.
- Define and implement data models, schemas, and integration frameworks to ensure the integrity and accessibility of clinical data.
- Perform all data engineering tasks and implement data pipelines and ETL processes to ingest, transform, and load clinical data from various sources into the data infrastructure.
- Optimize data workflows through ELT processes and other strategies to ensure smooth operation and performance.
- Develop APIs, interfaces, and middleware solutions for seamless communication between clinical software systems and databases.
- Implement security controls, encryption mechanisms, and access management policies to protect sensitive data from unauthorized access, breaches, and cyber threats.
- Monitor compliance with healthcare regulations such as HIPAA, GDPR, and other data privacy laws, and implement measures to address potential risks and vulnerabilities.
- Document data ingestion designs, technical specifications, and operational procedures to facilitate knowledge transfer and support ongoing maintenance and enhancements.
- Communicate effectively with stakeholders to ensure alignment of engineering solutions with organizational goals and objectives.
- Stay abreast of emerging technologies, trends, and best practices in clinical data management, data ingestion and transformation.
- Identify 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.
Employment Type: Full Time, Permanent
Functional Areas: Software/Testing/Networking
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based on 18 employees
Flexible timing
Monday to Friday
Within country
Day Shift
Astellas Pharma Benefits
Health Insurance 
Work From Home 
Soft Skill Training 
Education Assistance 
Job Training 
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